RU2779474C1 - Image processing device and method for performing effective deblocks - Google Patents

Abstract

FIELD: image processing.

SUBSTANCE: invention relates to means for image processing. The first coding block has a block size S_A of N samples, with S_A samples in a line perpendicular to the block edge and N samples in a line parallel to the block edge. The second coding block has a block size of S_B samples per N samples, with S_B samples in a line perpendicular to the edge of the block and N samples in a line parallel to the edge of the block. Values of at most M_A samples of the first coding block are modified as output values of the first filter. Values of not more than M_B samples of the second coding block are modified as output values of the second filter. Values of at most I_A samples of the first coding block are used as input values of the first filter. Values not exceeding I_B samples of the second coding block are used as input values of the second filter. Wherein S_A≠S_B, I_A≠I_B and M_A≠M_B. If S_A=8, the filter is configured to set I_A to S_A/2 and M_A to S_A/2 or S_A/2-1.

EFFECT: improving the efficiency and accuracy of deblocking while processing asymmetric filtering of both edges of the block in parallel.

16 cl, 14 dwg

Description

The field of technology to which the invention belongs

Embodiments of the present invention relate to the field of image processing, such as image and/or video coding. In particular, the invention relates to improvements to the deblocking filter.

State of the art

Image coding (encoding and decoding) is used in a wide range of digital imaging applications, such as digital TV broadcasting, video transmission over the Internet and mobile networks, real-time conversational applications such as video chat, video conferencing, DVD and Blu-ray discs, collection systems and video content editing and camcorder security applications.

Since the development of the block-based hybrid approach to video coding in H.261 in 1990, new video coding methods and tools have been developed that form the basis of new video coding standards. One of the goals of most video coding standards was to reduce the bit rate compared to its predecessor without sacrificing image quality. Additional video coding standards include MPEG-1 video, MPEG-2 video, ITU-T H.262/MPEG-2, ITU-T H.263, ITU-T H.264/MPEG-4 Part 10 Advanced Video Coding . (AVC), ITU-T H.265, High Efficiency Video Coding (HEVC), and extensions such as scalability and/or three-dimensional (3D) extensions to these standards.

A common feature of block-based image coding schemes is that edge artifacts can appear at the edges of the blocks. These artifacts arise from independent coding of coding blocks. These edge artifacts are often easily visible to the user. The goal of block image coding is to reduce edge artifacts below a visibility threshold. This is achieved by deblocking filtering. Such deblocking filtering is performed on the one hand on the decoding side to remove visible edge artifacts, but also on the encoding side to prevent edge artifacts in image encoding. Deblocking filtering can be challenging, especially for encoding with small block sizes.

Disclosure of the essence of the invention

In view of the above technical problems, the present invention is directed to improving conventional deblocking filtering. The present invention provides an image processing apparatus that can perform deblocking filtering with reduced processing time. In addition, deblocking must be efficient and accurate.

Embodiments of the invention are defined by the features of the independent claims, and further advantageous implementations of the embodiments are defined by the features of the dependent claims.

According to a first aspect of the invention, an image processing apparatus is provided. The image processing apparatus is for use in an image encoder and/or an image decoder to deblock a block edge between a first coding block and a second coding block of a block coded image. The first coding block has a block size S _A perpendicular to the block edge, while the second coding block has a block size S _B perpendicular to the block edge. The image processing device comprises a filter for filtering the edge of the block, configured to

- modify no more than the number M _A of sample values of the first coding block adjacent to the edge of the block as the output values of the first filter,

- modify no more than the number M _B of sample values of the second coding block adjacent to the edge of the block as output values of the second filter,

- use no more than the number I _A of sample values of the first coding block adjacent to the edge of the block as input values of the first filter to calculate the output values of the first filter and/or the output values of the second filter,

- use no more than the number I _B of sample values of the second coding block adjacent to the edge of the block as input values of the second filter to calculate the output values of the first filter and/or the output values of the second filter.

where I _A ≠ I _B and M _A ≠ M _B .

This allows the two sides of the block edge to be treated differently and therefore ensures that deblocking can be performed in parallel, regardless of the size of the encoding block. Thus, the processing time for deblocking filtering is greatly reduced.

It should be noted that the image processing apparatus may include a processor configured to perform filtering and modification.

Advantageously, S _A ≠ S _B .

This ensures that, in particular, edge deblocking between blocks with different coding block sizes can be performed in parallel.

Preferably, the image processing apparatus comprises a determiner configured to determine whether a block edge should be filtered and/or whether strong filtering or weak filtering should be performed, based on

- no more than the number D _A of sample values of the first coding block adjacent to the edge of the block as the decision values of the first filter, and

- no more than the number D _B of sample values of the second coding block adjacent to the edge of the block as decision values of the second filter.

This allows you to very accurately and in parallel determine which edges are actually deblocked and which edges are not deblocked.

Preferably, the input values of the first filter are identical to the decision values of the first filter. The input values of the second filter are identical to the decision values of the second filter.

This further increases the deblocking efficiency.

Preferably, if S _A = 4, the filter is configured to install

- I _A on 3, and

- M _A on 1.

Thus, very efficient deblocking is achieved.

Advantageously, if S _B = 8, the filter is configured to set

- I _B on 4, and

- M _V on 3 or 4.

This provides particularly accurate and parallel deblocking.

Preferably, if S _B = 16, the filter is configured to install

- I _B on 8, and

- M _V on 7 or 8.

Thus, an additional improvement in the deblocking accuracy is achieved.

Advantageously, if S _B > 4, the filter is configured to set

- I _B to S _B /2 and

- M _B to S _B /2 or S _B /2 - 1.

Thus, particularly efficient deblocking is possible.

Preferably, if S _A = 8, the filter is configured to install

- I _A to S _A /2 and

- M _A to S _A /2 or S _A /2 - 1.

Thus, a further increase in the efficiency and accuracy of deblocking is achieved.

Preferably, if S _B > 8, the filter is configured to install

- I _B to S _B /2 and

- M _B to S _B /2 or S _B /2 - 1.

This further increases the efficiency and accuracy of deblocking.

Advantageously, if the block edge is a horizontal block edge and if the block edge overlaps with the coding tree block, CTU, picture block edge and if the second coding block is the current block and the first coding block is an adjacent block of said current block, the filter is configured to set

- I _A on 4, and

- M _A on 3 or 4.

This greatly reduces the amount of linear memory required to store the pixel values of the preceding coding blocks needed to perform deblocking on the horizontal edge of the coding block.

According to a second aspect of the invention, an encoder for encoding an image is provided, comprising the previously described image processing apparatus.

This allows for very efficient and accurate encoding of the image.

According to a third aspect of the invention, a decoder for decoding an image is provided, comprising the previously described image processing apparatus.

This allows the image to be decoded particularly accurately and efficiently.

According to a fourth aspect of the invention, there is provided a deblocking method for deblocking a block edge between a first coding block and a second coding block of an image encoded with a block code when encoding an image and/or decoding an image. The first coding block has a block size S _A perpendicular to the block edge. The second coding block has a block size S _B perpendicular to the block edge. Decoding contains filtering containing:

- modifying no more than the number M _A of sample values of the first coding block adjacent to the edge of the block as the output values of the first filter,

- modifying no more than the number M _B of sample values of the second coding block adjacent to the edge of the block as output values of the second filter,

- using no more than the number I _A of sample values of the first coding block adjacent to the edge of the block as input values of the first filter to calculate the output values of the first filter and/or the output values of the second filter,

- using no more than the number I _B of sample values of the second coding block adjacent to the edge of the block as input values of the second filter to calculate the output values of the first filter and/or the output values of the second filter.

where, I _A ≠ I _B and M _A ≠ M _B .

This provides particularly precise and efficient deblocking.

Advantageously, S _A ≠ S _B .

This ensures that, in particular, edge deblocking between blocks with different coding block sizes can be performed in parallel.

Preferably, the method comprises determining whether a block edge should be filtered and/or whether strong filtering or weak filtering should be performed, based on

- no more than the number D _A of sample values of the first coding block adjacent to the edge of the block as the decision values of the first filter, and

- no more than the number D _B of sample values of the second coding block adjacent to the edge of the block as decision values of the second filter.

This allows you to very accurately and in parallel determine which edges are actually deblocked and which edges are not deblocked.

Preferably, the input values of the first filter are identical to the decision values of the first filter. The input values of the second filter are identical to the decision values of the second filter.

This further increases the deblocking efficiency.

Preferably, if S _A = 4, filtering uses

- I _A = 3, and

- M _A = 1.

Thus, a very high deblocking efficiency is achieved.

Advantageously, if S _B = 8, the filtering uses

- I _B = 4, and

- M _B = 3 or 4.

This provides particularly accurate and parallel deblocking.

Preferably if S _B = 16, filtering uses

- I _B = 8, and

- M _B = 7 or 8.

Thus, an additional improvement in the deblocking accuracy is achieved.

Advantageously, if S _B > 4, filtering uses

- I _B = S _B /2, and

- M _B = S _B /2 or S _B /2 - 1.

Thus, particularly effective deblocking is possible.

Preferably if S _A = 8, filtering uses

- I _A = S _A /2, and

- M _A = S _A /2 or S _A /2 - 1.

Thus, a further increase in the efficiency and accuracy of deblocking is achieved.

Preferably if S _B > 8, filtering uses

- I _B = S _B /2, and

- M _B = S _B /2 or S _B /2 - 1.

This further increases the efficiency and accuracy of deblocking.

Advantageously, if the block edge is a horizontal block edge and if the block edge overlaps with the coding tree block, CTU, picture block edge and if the second coding block is the current block and the first coding block is an adjacent block of said current block, the filtering uses

- I _A = 4, and

- M _A = 3 or 4.

This greatly reduces the amount of linear memory required to store the pixel values of the preceding coding blocks needed to perform deblocking on the horizontal edge of the coding block.

According to a fifth aspect of the invention, an encoding method for encoding an image is provided, comprising the previously shown deblocking method.

This allows for very efficient and accurate encoding of the image.

According to a sixth aspect of the invention, a deblocking method for encoding an image is provided, comprising the previously shown deblocking method.

This allows for very efficient and accurate image decoding.

According to a seventh aspect of the invention, a computer program product is provided with program code for performing the previously shown method when the computer program is executed on a computer.

Details of one or more embodiments are set forth in the accompanying drawings and in the description below. Other features, objects and advantages will be apparent from the description, drawings and claims.

Brief description of the drawings

In the following embodiments of the invention, the present invention is described in more detail with reference to the accompanying drawings, in which:

1 is a block diagram showing an example of a video encoder capable of implementing embodiments of the invention;

2 is a block diagram showing an exemplary structure of a video decoder capable of implementing embodiments of the invention;

3 is a block diagram showing an example of a video coding system capable of implementing embodiments of the invention;

4 shows three exemplary coding blocks;

Fig. 5 shows a first embodiment of an image processing apparatus according to the first aspect of the invention;

6 shows a first embodiment of an encoder according to the present invention according to a second aspect of the invention;

7 shows a first embodiment of the proposed decoder according to the third aspect of the invention;

8 shows a second embodiment of an image processing apparatus according to the first aspect of the invention;

9 shows three exemplary coding blocks including different sample values used for deblocking filtering and modified for deblocking filtering as used in the third embodiment of the image processing apparatus of the first aspect of the invention;

10 shows a flowchart depicting an exemplary process for increasing deblocking filtering efficiency;

Fig. 11 shows three exemplary coding blocks and corresponding sample values used and modified during filtering using the exemplary method shown in FIG. 7;

Fig. 12 shows an image including multiple coding blocks that is filtered by the fourth embodiment of the first aspect of the invention;

Fig. 13 shows two exemplary coding blocks corresponding to the coding blocks of the exemplary image of Fig. 12, and sample values used and modified during filtering in the fifth embodiment of the image processing apparatus according to the first aspect of the invention, and

Fig. 14 shows a flowchart of an embodiment of an image processing method according to a fourth aspect of the invention.

In the following, identical reference numerals refer to identical or at least functionally equivalent elements. In part, different reference numbers have been used in different drawings referring to the same objects.

Implementation of the invention

First of all, a description of the general concept of image coding in Fig.1-3. 4 shows a defect in a conventional deblocking filter. In FIG. 5-13 show and describe the implementations and functions of various embodiments of the proposed device. Finally, with reference to FIG. 14, an embodiment of the method of the present invention is shown and described. Like objects and reference numbers in the various drawings are partially omitted.

In the following description, reference is made to the accompanying drawings, which form part of the present invention and show, by way of illustration, specific aspects of embodiments of the invention or specific aspects in which embodiments of the present invention may be used. Obviously, embodiments of the invention can be used in other aspects and contain structural or logical changes not shown in the drawings. Therefore, the following detailed description should not be considered in a limiting sense, and the scope of the present invention is determined by the appended claims.

For example, it is understood that the present invention in connection with the described method may also be true for a corresponding device or system configured to perform the method and vice versa. For example, if one or more specific method steps are described, the corresponding device may include one or more blocks, such as functional blocks for performing one or more method steps described (for example, one block performing one or more steps, or a plurality of blocks each of which performs one or more of a plurality of steps), even if such one or more units are not explicitly described or illustrated in the drawings. On the other hand, for example, if a particular device is described in terms of one or more modules, such as functional blocks, the corresponding method may include one step to perform the functionality of one or more modules (for example, one step to perform the functionality of one or more modules). modules, or a plurality of steps, each of which performs the functionality of one or more of the plurality of blocks), even if such one or more steps is not explicitly described or illustrated in the drawings. In addition, it should be understood that features of the various exemplary embodiments and/or aspects described herein may be combined with each other unless specifically noted otherwise.

Video coding generally refers to the processing of a sequence of images that form a video or video sequence. Instead of the term "image", the terms "frame" or "image" may be used as synonyms in the field of video coding. Video encoding consists of two parts: video encoding and video decoding. Video encoding is performed at the source side, typically involving processing (eg, by compressing) the original video images to reduce the amount of data needed to represent the video images (for more efficient storage and/or transmission). The video decoding is performed on the destination side and usually involves inverse processing compared to the encoder to recover the video images. Embodiments relating to "coding" of video images (or images in general, as will be explained later) should be understood to refer to both "coding" and "decoding" of video images. The combination of an encoding part and a decoding part is also called CODEC (COding and DECoding).

In the case of lossless video coding, the original video images can be reconstructed, i.e. the restored video images have the same quality as the original video images (assuming no transmission loss or other data loss during storage or transmission). In the case of lossy video coding, additional compression is performed, for example by quantization, to reduce the amount of data representing video images that cannot be completely reconstructed in the decoder, i.e., the quality of the reconstructed video images is lower or worse compared to the quality of the original video images.

Several video coding standards, starting with H.261, belong to the group of "hybrid lossy video codecs" (ie, combine spatial and temporal sample-domain prediction and 2D transform coding to apply transform-domain quantization). Each picture of a video sequence is usually divided into a set of non-overlapping blocks, and encoding is usually done at the block level. In other words, in the encoder, the video is usually processed, i.e., encoded at the block level (video block), for example, using spatial (inner picture) prediction and temporal (inner picture) prediction to generate a prediction block, subtracting the prediction block from the current block (block currently being processed/to be processed) to obtain a residual block, transforming the residual block, and quantizing the residual block in the transform domain to reduce the amount of data that must be transmitted (compression), while in the decoder, compared to the encoder, inverse processing is performed encoded or compressed block to restore the current block for presentation. In addition, the encoder duplicates the processing cycle of the decoder so that both will generate identical predictions (eg, intra and inter prediction) and/or recover for processing, ie encoding, subsequent blocks.

Since video image processing (also called moving image processing) and still image processing (the term processing includes coding) share many concepts and technologies or tools, the term "image" is used in the following to refer to a video image, a video sequence (as explained above) and/or a still image to avoid unnecessary repetition and differences between video and still images where it is not necessary. If the description refers only to still images (or still images), then the term "still image" should be used.

In the following embodiments, encoder 100, decoder 200, and encoding system 300 are described based on FIGS. 1-3 before the embodiments are described in more detail based on FIGS. 4-14.

3 is a conceptual or schematic block diagram illustrating an embodiment of an encoding system 300, e.g., an image encoding system 300, in which the encoding system 300 comprises a source device 310 configured to provide encoded data 330, e.g., an encoded image 330, e.g. , to the destination device 320 for decoding the encoded data 330.

Source device 310 includes encoder 100 or encoder 100 and may additionally, i.e. optionally include an image source 312, a pre-processor 314, such as an image pre-processor 314, and a communication interface or communication unit 318.

Image source 312 may comprise or may be any type of image capturing device, such as for capturing a real image, and/or any type of image generating device, such as a computer graphics processor for generating a computer animated image, or any type of device for receiving and/or providing a real image, a computer-animated image (eg, display content, virtual reality (VR) image), and/or any combination thereof (eg, augmented reality (AR) image). In the following, all these types of images and any other images will be referred to as "picture" or "frame" unless specifically stated otherwise, while the foregoing explanation regarding the term "image" covers "video images" and "still images" remain in force, unless expressly stated otherwise.

A (digital) image is, or can be viewed as, a two-dimensional array or matrix of samples with intensity values. A selection in an array can also be called a pixel (short for picture element) or an element. The number of samples in the horizontal and vertical direction (or axis) of the array or image determines the size and/or resolution of the image. Three color components are typically used to represent a color, that is, an image can be represented by or include three arrays of samples. In RGB format or color space, an image contains a corresponding array of red, green, and blue color samples. However, in video encoding, each pixel is typically represented in a luma/chrominance format or color space, such as YCbCr, which contains a luminance component labeled Y (sometimes L is also used instead) and two chrominance components labeled Cb and Cr. The luminance Y component (or luminance for short) represents the luminance or gray level intensity (eg, as in a grayscale image), while the two chrominance components (chroma for short) Cb and Cr represent components of chrominance or color information. Accordingly, an image in YCbCr format contains an array of luma samples of (Y) luma samples and two chrominance sample arrays of chroma values (Cb and Cr). RGB images can be converted to YCbCr format and vice versa, a process also known as color conversion. If the image is monochrome, it can only contain an array of brightness samples.

Image source 312 may be, for example, a camera for capturing an image, a memory, such as an image memory containing or storing a previously captured or generated image, and/or any type of interface (internal or external) for acquiring or receiving an image. The camera may be, for example, a local or integrated camera integrated into the source device, the memory may be local or integrated memory, for example, integrated into the source device. The interface may be, for example, an external interface for receiving an image from an external video source, such as an external image capturing device such as a camera, external memory, or an external image generating device, such as an external computer graphics adapter, processor, computer, or server. The interface may be any, for example, a wired or wireless interface, an optical interface in accordance with any proprietary or standardized interface protocol. The interface for obtaining image data 312 may be the same interface as the communication interface 318, or part of it.

Unlike the preprocessor 314 and the processing performed by the preprocessor 314, the image or image data 313 may also be referred to as a raw image or raw image data 313.

The pre-processor 314 is configured to receive (raw) image data 313 and perform pre-processing of the image data 313 to obtain a pre-processed image 315 or pre-processed image data 315. Pre-processing performed by pre-processor 314 may, for example, include cropping, color format conversion (eg, from RGB to YCbCr), color correction, or denoising.

The encoder 100 is configured to receive pre-processed image data 315 and provide encoded image data 171 (more details will be described, for example, based on Fig. 1).

The communication interface 318 of source device 310 may be configured to receive encoded image data 171 and directly transmit it to another device, such as destination device 320 or any other device for storage or direct retrieval or for processing encoded image data 171, respectively, prior to storage. encoded data 330 and/or transmit encoded data 330 to another device, such as destination device 320 or any other device for decoding or storage.

Destination device 320 includes decoder 200 or decoder 200 and may additionally, i.e. possibly contain a communication interface or a communication unit 322, a post-processing unit 326, and a display device 328.

The communication interface 322 of the destination device 320 is configured to receive the encoded image data 171 or encoded data 330, for example, directly from the source device 310 or from any other source, such as a memory, such as an encoded image data memory.

The communication interface 318 and the communication interface 322 may be configured to transmit, respectively, the received encoded image data 171 or the encoded data 330 via a direct link between source device 310 and destination device 320, such as via a direct wired or wireless connection, or via any a network, such as a wired or wireless network, or any combination thereof, or any private or public network, or any combination thereof.

The communication interface 318 may, for example, be configured to package the encoded image data 171 into an appropriate format, such as packets, for transmission over a communication channel or network, and may further comprise data loss protection and data loss recovery.

Communication interface 322 analogous to communication interface 318 may, for example, be configured to decompress encoded data 330 to obtain encoded image data 171, and may also be configured to perform data loss protection and data loss recovery, for example, comprising error masking.

Both communication interface 318 and communication interface 322 may be configured as unidirectional communication interfaces, as indicated by the arrow for encoded picture data 330 in FIG. 3 pointing from source device 310 to destination device 320, or as bi-directional communication interfaces, and may be configured to, for example, send and receive messages, such as to establish a connection, acknowledge, and/or resend lost or delayed data, including including image data, and exchanging any other information related to the communication channel and/or data transmission, for example, the transmission of encoded image data.

The decoder 200 is configured to receive encoded image data 171 and provide decoded image data 231 or decoded image 231 (more details will be described, for example, with reference to FIG. 2).

The post-processing processor 326 of the destination device 320 is configured to perform post-processing of the decoded image data 231, such as the decoded image 231, to obtain post-processed image data 327, such as the post-processed image 327. The post-processing performed by the post-processing unit 326 may include, for example, a transformation color format (eg, from YCbCr to RGB), color correction, cropping or resampling, or any other processing, for example, to prepare the decoded image data 231 for display, for example, using the display device 328.

The display device 328 of the destination device 320 is configured to receive post-processed image data 327 for displaying the image to, for example, a user or viewer. The display device 328 may be or comprise any kind of display for presenting the reconstructed image, such as a built-in or external display or monitor. The displays may, for example, comprise a cathode ray tube (CRT), a liquid crystal display (LCD), a plasma display, an organic light emitting diode (OLED) display, or any other displays…beam, hologram (3D),…

Although FIG. 3 depicts source device 310 and destination device 320 as separate devices, device embodiments may also contain both or both functionality, source device 310 or related functionality, and destination device 320 or related functionality. In such embodiments, source device 310 or related functionality and destination device 320 or related functionality may be implemented using the same hardware and/or software, or using separate hardware and/or software, or any combination thereof.

As will be apparent to those skilled in the art based on the description, the presence and (exact) separation of functionality of various blocks or functions in source device 310 and/or destination device 320 as shown in FIG. 3 may vary depending on the actual device and application.

Therefore, source device 310 and destination device 320, as shown in FIG. 3 are merely exemplary embodiments of the invention, and the embodiments of the invention are not limited to those shown in FIG. 3.

Source device 310 and destination device 320 may comprise any of a wide range of devices, including any kind of portable or stationary devices, such as laptops or laptops, mobile phones, smartphones, tablets or tablet computers, cameras, desktop computers, set-top boxes, televisions, display devices, digital media players, game consoles, video streaming devices, broadcast receiver devices, etc. (also servers and workstations for large-scale professional encoding/decoding, such as network objects) and may not use any type of operating system.

FIG. 1 shows a schematic/conceptual block diagram of an embodiment of an encoder 100, such as an image encoder 100, which includes an input 102, a residual calculation unit 104, a transform unit 106, a quantizer unit 108, an inverse quantization unit 110, and an inverse transform unit 112. , recovery unit 114, buffer 118, loop filter 120, decoded picture buffer (DPB) 130, prediction unit 160 [inter estimator 142, inter prediction 144, intra estimator 152, intra prediction 154], mode selection unit 162, an entropy encoding block 170; and an output 172. The video encoder 100 shown in FIG. 1 may also be referred to as a hybrid video encoder or a video encoder according to a hybrid video codec.

For example, the residual value calculation unit 104, the transform unit 106, the quantizer 108, and the entropy encoding unit 170 form the forward signal path of the encoder 100, while, for example, the inverse quantizer 110, the inverse transform unit 112, the restore unit 114, the loop buffer 118 filter 120, decoded picture buffer (DPB) 130, inter predictor 144, and intra predictor 154 form an encoder return signal path, in which the encoder return signal path corresponds to the decoder signal path (see decoder 200 in FIG. 2).

The encoder is configured to receive, for example, via input 102, an image 101 or an image block 103 of image 101, for example an image of a sequence of images constituting a video or video sequence. Image block 103 may also be referred to as the current image block or image block to be encoded, and image 101 is the current image or image to be encoded (particularly in video encoding, to distinguish the current image from other images, such as previously encoded and/or or decoded pictures of the same video sequence, i.e. a video sequence that also contains the current picture).

Embodiments of encoder 100 may comprise a splitter (not shown in FIG. 1), for example, which may also be referred to as a picture splitter, configured to split image 103 into multiple blocks, such as blocks like block 103, typically into multiple non-overlapping blocks. . The partition block may be configured to use the same block size for all images of the video sequence and the corresponding grid defining the block size, or to change the block size between images, subsets or groups of images and divide each image into appropriate blocks.

Like image 101, block 103 is again, or can be viewed as, a two-dimensional array or matrix of samples with intensity values (sample values), albeit smaller than image 101. In other words, block 103 may contain, for example, one array of samples (for example, a luminance array in the case of a monochrome image 101) or three sample arrays (eg, a luminance array and two chrominance arrays in the case of a color image 101) or any other number and/or type of arrays depending on the color format used. The number of samples in the horizontal and vertical direction (or axis) of block 103 determines the size of block 103.

The encoder 100, as shown in FIG. 1, is configured to encode the image 101 block by block, for example, encoding and prediction are performed in block 103.

The residual calculation unit 104 is configured to calculate the residual block 105 based on the image block 103 and the prediction unit 165 (more details about the prediction unit 165 are provided later), for example, by subtracting the sample values of the prediction unit 165 from the sample values of the image block 103, sample per sampling (pixel by pixel) to obtain a residual block 105 in the sampling area.

Transform block 106 is configured to apply a transform, such as a space-frequency transform or a linear spatial transform, such as a discrete cosine transform (DCT) or discrete sine transform (DST), on the sample values of the residual block 105 to obtain transformed coefficients 107 in the transform domain. The transformed coefficients 107 may also be referred to as transformed residual coefficients and represent the residual block 105 in the transform region.

Transform block 106 may be configured to apply DCT/DST integer approximations, such as the base transforms defined for HEVC/H.265. Compared to the orthonormal DCT, such integer approximations are usually scaled by a certain factor. To preserve the norm of the residual block that is processed by forward and backward transforms, the transform process applies additional scaling factors as part of the transform process. The scaling factors are usually chosen based on certain constraints, such as the scaling factors being a power of two for the shift operation, the bit width of the converted coefficients, the trade-off between accuracy and implementation cost, and so on. Specific scaling factors may be determined, such as those specified for the inverse transform, for example, by the inverse transform block 212 in the decoder 200 (and for the corresponding inverse transform, for example, by the inverse transform block 112 in the encoder 100) and the corresponding scaling factors for the direct transform, for example, using the transform block 106 in the encoder 100, respectively.

The quantizer 108 is configured to quantize the transformed coefficients 107 to obtain the quantized coefficients 109, for example by applying scalar quantization or vector quantization. The quantized coefficients 109 may also be referred to as quantized residual coefficients 109. For example, a different scaling may be applied to scalar quantization to achieve finer or coarser quantization. Smaller quantization step sizes correspond to finer quantization, while larger quantization step sizes correspond to coarser quantization. The applicable quantization step size may be indicated by a quantization parameter (QP). The quantization parameter may, for example, be an index to a predetermined set of applicable quantization step sizes. For example, small quantization parameters may correspond to fine quantization (small quantization step sizes) and large quantization parameters may correspond to coarse quantization (large quantization step sizes), or vice versa. Quantization may include dividing by the quantization step size and corresponding or inverse dequantization, for example by inverse quantization 110, may include multiplying by the quantization step size.

Embodiments according to HEVC may be configured to use a quantization parameter to determine the quantization step size. Typically, the quantization step size can be calculated based on the quantization parameter using a fixed-point approximation of an equation involving division. Additional scaling factors can be introduced for quantization and dequantization to recover the residual block norm, which can be changed due to the scaling used in the fixed point approximation of the equation for quantization step size and quantization parameter. In one exemplary implementation, inverse transform scaling and dequantization may be combined. Alternatively, configured quantization tables may be used and signaled from the encoder to the decoder, for example, in a bitstream. Quantization is a lossy operation in which the loss increases with increasing quantization step sizes.

Embodiments of the encoder 100 (or quantizer 108, respectively) can be configured to derive the quantization scheme and quantization step size, for example, with an appropriate quantization parameter, so that the decoder 200 can receive and apply the appropriate inverse quantization. Embodiments of encoder 100 (or quantizer 108) may be configured to output a quantization scheme and quantization step size, eg encoded directly or entropy via entropy coding unit 170 or any other entropy coding unit.

The inverse quantizer 110 is configured to apply the inverse quantization of the quantizer 108 to the quantized coefficients to obtain the dequantized coefficients 111, for example, by applying the inverse quantization scheme applied by the quantizer 108 based on or using the same quantization step size as the block 108 quantization. The dequantized coefficients 111 may also be referred to as the dequantized residual coefficients 111 and correspond, although they are usually not identical to the transformed coefficients due to quantization loss, to the transformed coefficients 108.

The inverse transform block 112 is configured to apply an inverse transform applied by the transform block 106, such as an inverse discrete cosine transform (DCT) or an inverse discrete sine transform (DST), to obtain an inverse transform block 113 in the sample area. The inverse transform block 113 may also be referred to as the dequantized inverse transform block 113 or the residual inverse transform block 113 .

Restoration block 114 is configured to combine inverse transform block 113 and predictor 165 to obtain a reconstructed block 115 in the sample area, for example, by discretely adding the sample values of the decoded residual block 113 and the sample values of the prediction block 165.

Buffer block 116 (or "buffer" 116 for short), eg, linear buffer 116, is configured to buffer or store the reconstructed block and corresponding sample values, eg, for intra-estimation and/or intra-prediction. In additional embodiments, the encoder may be configured to use the unfiltered reconstructed blocks and/or corresponding sample values stored in buffer block 116 for any kind of estimation and/or prediction.

Embodiments of encoder 100 may be configured such that, for example, buffer block 116 is used not only to store reconstructed blocks 115 for intra estimation 152 and/or intra prediction 154, but also for loop filter block 120 (not shown in FIG. 1 ) and/or, for example, buffer block 116 and decoded picture buffer block 130 form one buffer. Additional embodiments may be configured to use filtered blocks 121 and/or blocks or samples from decoded picture buffer 130 (both not shown in FIG. 1) as input or basis for intra estimation 152 and/or intra prediction 154.

The loop filter block 120 (or "loop filter" 120 for short) is configured to filter the reconstructed block 115 to obtain a filtered block 121, for example, by applying an adaptive offset deblocking (SAO) filter or other filters, such as sharpening filters. or anti-aliasing, or joint filters. The filtered block 121 may also be referred to as the filtered reconstructed block 121. The loop filter 120 is also referred to as a deblocking filter in the following.

Embodiments of loop filter block 120 may comprise (not shown in FIG. 1) a filter analysis block and an actual filter block, wherein the filter analysis block is configured to determine loop filter parameters for the actual filter. The filter parser may be configured to apply fixed predetermined filter parameters to the actual loop filter, adaptively select filter parameters from a set of predefined filter parameters, or adaptively calculate filter parameters for the actual loop filter.

Embodiments of the loop filter unit 120 may comprise (not shown in FIG. 1) one or a plurality of filters (loop filter components/sub-filters), e.g., one or more different types or kinds of filters, e.g., connected in series or in parallel, or any combination thereof. , wherein each of the filters may contain, separately or together with other filters from a plurality of filters, a filter analysis unit for determining the corresponding loop filter parameters, for example, as described in the preceding paragraph.

Embodiments of encoder 100 (respectively, loop filter block 120) may be configured to output loop filter parameters, such as encoded directly or entropy via entropy encoding block 170 or any other entropy encoding block, such that, for example, decoder 200 may receive and apply the same loop filter parameters for decoding.

A decoded picture buffer (DPB) 130 is configured to receive and store a filtered block 121. The decoded picture buffer 130 can be further configured to store other previously filtered blocks, such as previously restored and filtered blocks 121 of the same current image or different images. , for example, previously restored images and can provide complete previously restored, i.e. decoded, pictures (and corresponding reference blocks and samples) and/or partially reconstructed current picture (and corresponding reference blocks and samples), for example, for inter-estimation and/or inter-prediction.

Additional embodiments of the invention may also be configured to use the previously filtered blocks and the corresponding filtered sample values of the decoded picture buffer 130 for any kind of estimation or prediction, such as inner and outer estimation and prediction.

The predictor 160, also referred to as the block predictor 160, is configured to receive or obtain an image block 103 (the current image block 103 of the current image 101) and decoded or at least reconstructed image data, such as reference samples of the same (current) images from buffer 116 and/or decoded image data 231 from one or a plurality of previously decoded images from decoded image buffer 130, and process such data for prediction, i.e., provide a prediction block 165, which may be an inter prediction block 145 or an intra prediction block 155 predictions.

Mode selector 162 may be configured to select a prediction mode (eg, intra or inter prediction mode) and/or a corresponding predictor 145 or 155 to be used as predictor 165 to calculate the residual block 105 and to reconstruct the reconstructed block 115 .

Embodiments of mode selector 162 may be configured to select a prediction mode (e.g., from those supported by predictor 160) that provides the best match or, in other words, minimum residual (minimum residual means better compression for transmission or storage). ), or minimal signaling overhead (minimum signaling overhead means better compression for transmission or storage), or which takes into account or balances both. The mode selector 162 may be configured to determine a prediction mode based on rate distortion optimization (RDO), i.e., selection of a prediction mode that provides minimum rate distortion optimization or that associated rate distortion at least satisfies a prediction mode selection criterion. .

The following is a detailed description of the prediction processing process (e.g., predictor 160 and mode selection (e.g., mode selector 162) performed by exemplary encoder 100.

As described above, encoder 100 is configured to determine or select the best or optimal prediction mode from a set of (predetermined) prediction modes. The set of prediction modes may include, for example, intra prediction modes and/or inter prediction modes.

The intra prediction mode set may contain 32 different intra prediction modes, such as non-directional modes such as DC (or average) mode and planar mode, or directional modes such as defined in H.264, or may contain 65 different intra prediction modes , non-directional modes such as DC (or medium) mode and planar mode, or directional modes such as those defined in H.265.

The set (or possible) inter prediction modes depends on the available reference pictures (i.e., previous at least partially decoded pictures, such as those stored in DBP 230) and other inter prediction parameters, such as whether it is the entire reference picture or only it. a portion, e.g., an area search box around an area of the current block, of the reference image is used to find the best match of the reference block and/or, e.g., whether pixel interpolation is applied, e.g., half/half-pixel and/or quarter-pixel interpolation or not.

In addition to the above prediction modes, skip mode and/or direct mode may be applied.

The predictor 160 may be further configured to split the block 103 into smaller blocks or sub-blocks, for example, iteratively using quad split (QT), binary split (BT), or triple tree split (TT), or any combination thereof, and to perform , for example, prediction for each of the partitions or sub-blocks of the block, wherein the mode selection includes selecting the tree structure of the partitioned block 103 and the prediction modes applied to each of the partitions or sub-blocks of the block.

An external estimator 142, also referred to as an external image estimator 142, is configured to receive or obtain an image block 103 (the current image block 103 of the current image 101) and a decoded image 231 or at least one or a plurality of previously reconstructed blocks, for example, reconstructed blocks of one or a plurality of other/different previously decoded images 231 for external evaluation (or "external image estimation"). For example, the video sequence may comprise the current picture and previously decoded pictures 231 or, in other words, the current picture and previously decoded pictures 231 may be part of or form a sequence of pictures that make up the video sequence.

Encoder 100 may, for example, be configured to select a reference block from a plurality of reference blocks of the same or different pictures from a plurality of other pictures and provide a reference picture (or reference picture index, ...) and/or an offset (spatial offset) between position ( X, Y) coordinates of the reference block and the position of the current block as parameters 143 of the external estimate in the block 144 of the external prediction. This displacement is also called motion vector (MV). The extrinsic estimate is also called motion estimation (ME) and the extrinsic prediction is also called motion prediction (MP).

Inter prediction block 144 is configured to obtain, for example, receive inter prediction parameter 143 and perform inter prediction based on or using inter prediction parameter 143 to obtain inter prediction block 145.

Although figure 1 shows two separate blocks (or steps) for inter-coding, namely, inter-estimator 142 and inter-prediction 152, both functions can be performed, since one (inter-estimate) requires / contains the calculation / of an inter prediction block, i.e. e. or "kind" of inter prediction 154), for example, by iteratively testing all possible or a predetermined subset of possible inter prediction modes while keeping the current best inter prediction mode and the corresponding inter prediction block and using the current best inter prediction mode and the corresponding inter prediction block as the (final) inter prediction parameter 143 and inter prediction block 145 without performing inter prediction 144 another time.

The internal estimator 152 is configured to receive, for example, an image block 103 (the current image block) and one or a plurality of previously reconstructed blocks, such as reconstructed adjacent blocks of the same image, for internal evaluation. The encoder 100 may, for example, be configured to select an intra prediction mode from a plurality of (predetermined) intra prediction modes and provide, as an intra estimate parameter 153, to the intra prediction block 154 .

Embodiments of encoder 100 may be configured to select an intra prediction mode based on an optimization criterion, such as a minimum residual (eg, an intra prediction mode providing prediction block 155 most similar to current picture block 103) or minimum rate distortion.

The intra prediction block 154 is configured to determine, based on the intra prediction parameter 153, for example, the selected intra prediction mode 153, the intra prediction block 155.

Although Figure 1 shows two separate blocks (or steps) for intra coding, namely intra-estimation 152 and intra-prediction 154, both functions can be performed since one (intra-estimation) requires/contains intra prediction block calculation, i.e. . or "kind of" intra prediction 154), for example, by iteratively testing all possible or a predetermined subset of possible intra prediction modes while maintaining the currently best intra prediction mode and the corresponding intra prediction block, and using the currently best intra prediction mode and the corresponding an intra prediction block as the (final) intra prediction parameter 153; and an intra prediction block 155 without re-executing intra prediction 154.

The entropy encoding unit 170 is configured to apply an entropy encoding algorithm or scheme (e.g., a variable length coding (VLC) scheme, a context adaptive VLC (CALVC) scheme, an arithmetic coding scheme, a context adaptive binary arithmetic coding (CABAC) scheme) to quantized residual coefficients 109, inter prediction parameters 143, intra prediction parameter 153, and/or loop filter parameters, individually or jointly (or not) to obtain encoded image data 171 that can be output by output 172, for example, as a coded bitstream 171.

2 shows an exemplary video encoder 200 configured to receive encoded image data (eg, encoded bitstream) 171, such as encoded by encoder 100, to obtain a decoded image 231.

The decoder 200 includes an input 202, an entropy decoding block 204, an inverse quantizer 210, an inverse transform block 212, a reconstruction block 214, a buffer 216, a loop filter 220, a decoded picture buffer 230, a prediction block 260, an inter prediction block 244, an intra prediction block 254 , block 260 mode selection and output 232.

The entropy decoding unit 204 is configured to perform entropy decoding of the encoded image data 171 to obtain, for example, quantized coefficients 209 and/or decoded coding parameters (not shown in FIG. 2), such as (decoded) any or all inter prediction parameters 143, an intra prediction parameter 153 and/or loop filter parameters.

In embodiments of decoder 200, inverse quantizer 210, inverse transform 212, restorer 214, buffer 216, loop filter 220, decoded picture buffer 230, predictor 260, and mode selector 260 are configured to inversely process encoder 100 (and corresponding function blocks) to decode the encoded image data 171 .

In particular, inverse quantizer 210 may be identical in function to inverse quantizer 110, inverse transform 212 may be identical in function to inverse transform 112, restorer 214 may be identical to function restorer 114, buffer 216 may be identical in function to buffer 116, the loop filter 220 may be identical in function to the loop filter 220 (as far as the actual loop filter is concerned, since the loop filter 220 usually does not contain a filter analysis block to determine the filter parameters based on the original image 101 or block 103, but accepts (explicitly or implicitly) or obtains the filter parameters used for encoding, for example, from entropy decoding block 204), and decoded picture buffer 230 may be identical in function to decoded picture buffer 130.

Prediction block 260 may comprise inter prediction block 244 and inter prediction block 254, in which inter prediction block 144 may be identical in function to inter prediction block 144 and inter prediction block 154 may be identical in function to intra prediction block 154. Predictor 260 and mode selector 262 are typically configured to perform block prediction and/or obtain predicted block 265 from encoded data 171 only (without any additional information about original image 101) and receive or obtain (explicitly or implicitly) parameters 143 or 153 predictions and/or information about the selected prediction mode, for example, from block 204 entropy decoding.

The decoder 200 is configured to output the decoded image 230, for example, through an output 232 for presentation or viewing to a user.

Although embodiments of the invention have been primarily described in terms of video encoding, it should be noted that embodiments of encoder 100 and decoder 200 (and system 300, respectively) may also be configured to process or encode still pictures, i.e., process or encode individual images regardless of any previous or subsequent image, as in video encoding. In general, only extrinsic estimation 142, extrinsic prediction 144, 242 are not available in case image processing coding is limited to a single image 101. Most if not all other features (also referred to as tools or technologies) of video encoder 100 and video decoder 200 can be equally used. for still pictures, e.g. split, transform (scaling) 106, quantize 108, inverse quantize 110, inverse transform 112, intra estimation 142, intra prediction 154, 254 and/or loop filtering 120, 220, entropy encoding 170 and entropy decoding 204 .

The present invention relates to the inner workings of the deblocking filter, also referred to as the loop filter in FIG. 1 and FIG. 2.

Video coding schemes such as H.264/AVC and HEVC are developed based on the successful block-based hybrid video coding principle. Using this principle, the image is first divided into blocks, and then each block is predicted using intra prediction or inter prediction. These blocks are encoded with respect to adjacent blocks and approximate the original signal with some degree of similarity. Since the encoded blocks only approximate the original signal, the difference between the approximations can cause discontinuities at the boundaries of the prediction and transform blocks. These inhomogeneities are suppressed by the deblocking filter. HEVC replaces the H.264/AVC macroblock structure with the concept of a coding tree unit (CTU) with a maximum size of 64x64 pixels. The CTU may be further subdivided by a quadtree decomposition scheme into smaller coding units (CUs), which may be subdivided to a minimum size of 8 x 8 pixels. HEVC also introduces the concepts of Prediction Blocks (PBs) and Transform Blocks (TBs).

Deblocking in HEVC is performed on all edges belonging to the coding unit (CU), prediction units (PU), and transform units (TU) that overlap with the 8 x 8 grid. Moreover, the deblocking filter in HEVC is much more parallel processing friendly compared to H.264/AVC where filtering operations are performed on a 4 x 4 grid. Vertical and horizontal block edges are processed in a different order in HEVC than in H.264/AVC. In HEVC, all vertical block edges in the image are first filtered, and then all horizontal block edges are filtered. Because the minimum distance between two parallel block boundaries in HEVC is eight samples, and HEVC deblocking modifies at most three samples from a block edge and uses four samples from a block edge for deblocking decisions, filtering one vertical edge does not affect filtering any other vertical edge. This means that there are no deblocking dependencies between block boundaries. In principle, any vertical block boundary can be processed parallel to any other vertical boundary. The same is true for horizontal borders, although modified samples from vertical border filtering are used as input to horizontal border filtering.

ITU-T VCEG (Q6/16) and ISO/IEC MPEG (JTC 1/SC 29/WG 11) are exploring the potential need to standardize a future compression-enabled video coding technology that far exceeds the capabilities of the current HEVC standard (including its current extensions and short term extensions for screen content encoding and high dynamic range encoding). The groups work together on this research activity in a collaborative effort known as the Joint Video Exploration Team (JVET) to evaluate compression technology designs proposed by their experts in the field.

The Joint Exploration Model (JEM) describes features that are explored in a coordinated manner by the ITU-T VCEG and ISO/IEC MPEG Joint Video Research Team (JVET) test models as a potentially enhanced video coding technology beyond the capabilities of HEVC.

The JEM (Joint Exploratory Model) software uses a new block partitioning scheme called quadtree plus binary tree (QTBT).

The QTBT framework removes the concepts of several types of separation, ie, removes the separation of coding unit (CU), prediction units (PU), and transform units (TU). Therefore, (CU = PU = TU) QTBT supports more flexible forms of CU partitioning, in which the CU can be square or rectangular. The minimum CU width and height can be 4 samples, and the CU dimensions can also be 4 x N or N x 4, where N can be in the range [4, 8, 16, 32].

The current LUMA deblocking filter in JEM filters all edges of a CU, including edges belonging to a CU that are 4 x N and N x 4 in size, resulting in the following disadvantages.

• Already filtered samples may influence the filtering decision at the boundary of consecutive blocks.

• Edges of adjacent blocks cannot be machined in parallel.

The current deblocking filter operation used for JEM (QTBT Split) is shown in FIG.

Encoding units 401, 402, 403, also referred to as P, Q, and R, represent three CUs. The CU size is 8 x 8, 4 x 8 and 4 x 8 respectively (N = 8) samples. Strong edge filtering 404, also called E1, modifies the samples marked in dashed box 406. Strong edge filtering 405, also called E2, modifies the samples marked in dashed box 407. As we can see, there is overlap between box 406 and box 407 and, Consequently,

- Already filtered samples in the Q block during E1 edge filtering affect the decision to filter the consecutive block edge (E2 edge)

- Adjacent block edges (E1 and E2) cannot be machined in parallel.

Therefore, it is necessary to perform deblocking filtering in a sequential manner. This results in very long processing times. This leads to unnecessarily long processing times, especially with the advent of new processor technologies using more and more parallel processing structures. By adapting deblocking filtering for parallel operation, significant processing time can be saved.

Now with reference to Fig.5-Fig.8 various embodiments of the first aspect, the second aspect and the third aspect of the invention are briefly described. Detailed functions of the embodiments shown in Figs. 5-Fig. 8 are described below with reference to Figs. 9-13.

5 shows a first embodiment of an image processing apparatus according to a first aspect of the invention. The image processing apparatus 501 includes a filter for filtering a block edge between the first coding block and the second coding block of an image encoded with a block code.

Specifically, the image processing apparatus 501 is for deblocking a block edge between the first coding block and the second coding block of an image encoded with a block code. The first coding block has a block size S _A perpendicular to the block edge, while the second coding block has a block size S _B perpendicular to the block edge. The image processing apparatus 501 includes a filter 502 for filtering the block edge. The filter is configured to

- modify at most M _A sample values of the first coding block adjacent to the edge of the block as output values of the first filter,

- modify at most M _B sample values of the second coding block adjacent to the edge of the block as output values of the second filter,

- use at most I _A sample values of the first coding block adjacent to the edge of the block as input values of the first filter to calculate the output values of the first filter and/or the output values of the second filter,

- use at most I _B sample values of the second coding block adjacent to the edge of the block as input values of the second filter to calculate the output values of the first filter and/or the output values of the second filter, as described above.

Where I _A is different from I _B , and M _A is different from M _B .

6 shows an embodiment of an encoder according to the second aspect of the invention. The encoder 600 includes an image processing device 601, which in turn contains a filter 602. The image processing device 601 corresponds to the image processing device 501 in FIG. The encoder operates in accordance with the main encoder shown in Fig.1. The contour filter, also referred to as the deblocking filter in FIG. 1, has been replaced by the image processing apparatus 601 shown herein.

Figure 7 shows an embodiment of the third aspect of the invention. The decoder 700 includes an image processing device 701, which in turn includes a filter 702. The image processing device 701 corresponds to the image processing device 501 in FIG. The decoder 700 operates according to the principle of the decoder shown in Fig.2. The contour filter, also referred to as the deblocking filter in FIG. 2 has been replaced by the image processing apparatus 701 shown herein.

Finally, in FIG. 8 shows another embodiment of an image processing apparatus according to the first aspect of the invention. The image processing apparatus 801 includes a filter 802 and a qualifier 803. The qualifier 803 determines whether a block edge should be filtered and/or whether strong filtering or weak filtering should be performed. This decision is based on no more than the number D _A of sample values of the first coding block adjacent to the block edge as the first filtering decision values and no more than the number D _B of sample values of the second coding block adjacent to the block edge as the decision values second filter.

The filter decision values need not be identical to the filter input values described in FIG. However, in practice they may be identical.

The image processing apparatus of FIG. 8 further includes a filter 802 which operates similarly to filter 502 of FIG.

In detail, the technical problem of parallelizing deblocking filtering can be solved by the approach shown in FIG. Here, the image 900 contains three coding blocks 901, 902 and 903. Between blocks 901 and 902 coding is the edge 904 of the block. Between blocks 902 and 903 encoding is the edge 905 of the block. When performing edge filtering 904, the sample values shown in dotted line 906 are taken into account, which are input filter values, as previously described. At the same time, only the sample values shown in the dotted line 907 are changed by the filtering. These exemplary values are the output values of the filter, as described earlier.

When filtering the block edge 905, the sample values in dashed line 908 are used as filter input values, while once the sample values in dashed line 909 are changed to constitute the filter output values.

Obviously, the output values of the edge filter filter 904, shown by the dashed line 907, do not overlap with the input values of the edge filter filter 905, shown in the dashed line 908. Conversely, also the filter outputs of the block edge filter 905, shown by the dashed line 909, do not overlap. with the block edge filtering filter inputs 904 shown in dotted line 906. Parallel filtering processing of both block edges is possible since there is no interdependency between the processing of the two block edges 904 and 905.

In addition, it is clearly seen here that the number of sample values used as input filter values and output filter values depends on the size of the coding block currently being processed. For example, the coding block 901 has a coding block size of eight pixels. Therefore, the number I of input filter samples is set to four. At the same time, the number M of changed sample values is set to three. I corresponds to pixels P 3, x, P 2, x, P 1, x and P 0, x, while I values correspond to pixels P 2, x, P 1, x and P 0, x.

At the same time, the encoding block 902 only has a block size S of four, so the number of input sample values I is set to three, and the number of modified sample values is set to 1.

This means that in case of non-identical block sizes along the edge of the block to be filtered, an asymmetric filter is used.

и

. Поскольку ширина блока Q составляет 4 выборки, решение о фильтрации может использовать только выборки Qi, j, где

и

.Since the width of block 901 is 8 samples, the filtering decision may use the samples Pi, j, where

and

. Since the Q block width is 4 samples, the filtering decision can only use the Qi, j samples, where

and

.

For the actual filtering operation, i.e. the selections that are modified during the filtering operation, the following applies:

и

могут быть модифицированы, тогда какfor block 901, since its block width is 8 samples, it can be modified to 3 samples. Therefore, the samples Pi, j, where

and

can be modified while

и

могут быть модифицированы.for block 902, since its block width is only 4 samples, can be modified to 1 sample to ensure no filter overlaps. Therefore, the samples Qi, j, where

and

can be modified.

For edge 905, two adjacent blocks that share a common edge, 902 and 903, with block widths of 4 and 4, respectively.

и

. Поскольку ширина блока 903 составляет 4 выборки, решение о фильтрации может использовать только выборки Ri, j, где

и

.Since block 902 is 4 samples wide, the filtering decision may use samples Qi, j, where

and

. Since the width of block 903 is 4 samples, the filtering decision can only use the samples Ri, j, where

and

.

For the actual filter operation, that is, the selections that are modified during the filter operation, the following applies:

и

могут быть модифицированы таким же образом, поскольку ширина блока R составляет 4 выборки, можно модифицировать только до 1 выборки, чтобы гарантировать отсутствие перекрытий фильтров. Следовательно, выборки Ri, j, где

и

могут быть модифицированы.for block 902, since its block width is 8 samples, it can be modified to 3 samples. Therefore, the samples Qi, j, where

and

can be modified in the same way, since the R block width is 4 samples, can only be modified to 1 sample to ensure no filter overlaps. Therefore, the samples Ri, j, where

and

can be modified.

As a result, the asymmetric filter modifies a maximum of 3 samples at block 901, 1 sample at block 902, and 1 sample at block 903.

The actual strong filter operation for blocks whose size is 4 samples is set as follows:

let's say the blocks adjacent to the block edge are two blocks that are 4 samples in size, then:

установлено на

strong filter solution

installed on

both the strong and normal filters change only one pixel, so only when the strong filter is applied, one sample in the p block is modified as follows:

For weak filtering, only a smaller number of sample values are used as input filter samples. In particular, the following filter equations are used:

Instead of using an asymmetric filter as described above, FIG. 10 shows an alternative exemplary solution. The first step 1000 checks if the current filtered block edge is aligned with the 8 x 8 coding sample grid. If so, the second step 1001 checks if the block edge to be filtered is a boundary between prediction blocks or transform blocks. If so, in a third step 1002 it is checked whether the boundary strength Bs > 0. If this condition is also met, in a fourth step 1003 it is checked whether condition 7.1 is true.

Condition 7.1 is used to check whether deblocking filtering is applied to the block boundary or not. The condition specifically checks how much the signal on each side of the block edge deviates from a straight line (slope).

If this condition is not met or any of the checks of steps 1000, 1001 and 1002 are not met, then at the fifth step 1004 it is determined that no filtering is performed.

In the sixth step 1005, it is now checked whether the block size of either of the two blocks surrounding the edge to be filtered is equal to four. If this is not the case, the seventh step 1006 checks whether the additional conditions 7.2, 7.3 and 7.4 are met.

Condition 7.2 checks that there are no significant signal changes on the sides of the block edge. Condition 7.3 checks the evenness of the signal on both sides. Condition 7.4 guarantees that the step between the values of the sample on the sides of the block edge will be small.

If all of these conditions are true, then in the eighth step 1007, strict filtering is performed. If it is not, then at the ninth step 1008 it is determined that normal filtering is performed. Then, the normal filtering processing continues at the tenth step 1009.

In the event that the check of the sixth step 1005 resulted in at least one of the blocks having a block size of four, steps 1006, 1007, and 1008 are not executed, but continue directly from step 1009. This solution executes part of the flowchart deblocking algorithm so that only one modification of the sample is performed.

In the tenth step 1009, it is checked whether the additional condition 7.12 is met. Condition 7.12 evaluates whether the break at the block boundary is a natural edge or caused by a block artifact.

If this condition is not true, then at the eleventh step 1010 it is decided that the filtering is not performed after all. If so, then in the twelfth step 1011, the values p0 and q0 of the pixels immediately surrounding the edge are modified.

At an additional step 1012, it is checked whether the additional condition 7.5 is met. Condition 7.5 tests how flat the signal is on the edge side of the box (that is, for box P). The smoother the signal, the more filtering is applied.

If this condition is true, the pixel value p1 is modified in the fourteenth step 1013. It then continues with the fifteenth step 1014. If condition 7.5 is not met, then continues directly with the fifteenth step 1014, which checks whether the additional condition 7.6 is met.

Condition 7.6 tests how flat the signal is on the edge side of the block (ie for block Q). The smoother the signal, the more filtering is applied. If the condition is met, the pixel value q1 is modified in the sixteenth step 1015. If condition 7.6 is not met, the pixel value q1 is not modified.

This can significantly reduce the number of checks needed to determine if filtering is being performed and what type of filtering is being performed if at least one of the block sizes is four.

Details of the standard matching conditions mentioned above can be found in Vivienne Sze, Mudhukar Buagavi, Gary J. Sullivan "High Efficiency Video Coding (HEVC), Algorithms and Architectures" (in particular, conditions 7.1-7.6 and 7.12 correspond to Equations 7.1-7.6 and 7.12 in Chapter 7).

This approach is also shown in Fig.11. Figure 11 shows an image 1100 containing three blocks 1101, 1102 and 1103. A block edge 1104 separates blocks 1101 and 1102. A block edge 1105 separates blocks 1102 and 1103. Since the size of block 1102 is four, when checking the block size during edge processing 1104 block it is determined that at least one of the involved blocks 1101, 1102 has a block size of four, and step 1005 is used when selecting a filter, as shown in Fig.10. Therefore, only the sample values directly at the block edge 1104 are modified, while on both sides of the block edge 1104, two consecutive sample values are used as filter inputs. The same is true for block edge 1105.

Thus, the embodiment shown in FIGS. 10 and 11 consists of forcing weak filtering if a block size of four is detected for at least one of the involved blocks.

In particular, the following equations are used:

A future video coding standard may use a "long tap" filter that modifies more than 3 samples. Further, a "long tap" filter that uses 8 samples as filter inputs and modifies to 7 samples can be used whenever the block size is greater than or equal to 16 samples.

To ensure that parallel deblocking is possible in such a scenario, two solutions are proposed:

Solution 1a: Apply the long tap filter only when the current block size is ≥ 16 samples and also when the adjacent block size is also ≥ 16 samples.

Solution 2a: Apply an "asymmetric filter" as explained earlier.

Therefore, the "asymmetric filter" modifies the samples used as input values and the modified values according to the block width:

for example: if

• block width == 4, then filtering decision and one sample can be modified

• block width == 8, then 4 samples can be used in filtering solution and modification

• For block width >= 16, the long tap filter can be applied as is.

Another aspect to take into account is where the corresponding block edge is in relation to the encoded picture. In particular, if the currently filtered block edge is aligned with the coding tree block (CTU) boundary and is a horizontal block edge, the number of filter inputs and filter outputs greatly affects the amount of linear memory to perform encoding. This is shown in FIG. 12.

FIG. 12 shows a picture 1200 containing multiple coding tree blocks CTU1-CTU40. Each coding tree block has, for example, 256 x 256 sample values. If long-tap filtering is to be performed, as explained above, the eight sample values at the edges of the coding block are considered to determine the output values of the filter. Since the coding blocks CTU1 - CTU40 are processed sequentially, this can result in a very large amount of linear memory required.

Consider deblocking filtering of the block edge 1201 shown in FIG. Here, the block edge 1201 extends across the entire width of the coding blocks CTU17 and CTT25. However, in practice, the size of the coding block will be much smaller, since the coding is not performed at the scale of the block of the coding tree.

Since the coding tree blocks CTU1-CTU40 are sequentially processed to perform code block edge deblocking 1201, it is necessary to store the entire lower horizontal boundary area of the coding tree blocks CTU17-CTU24 in line memory. In the example shown here with eight coding tree blocks CTU17 - CTU24 and a width of 256 samples of each of the coding blocks and eight corresponding sample values as filter inputs, a memory size of 8 x 256 x 8 = a row of 16384 linear memory samples is required. This disadvantage occurs for each edge of the horizontal coding block. This is especially problematic for the coding tree block CTU9, CTU17, CTU25 and CTU33, because in any of these cases the entire horizontal boundary area of the preceding line of coding tree blocks must be stored in linear memory. This is further shown in Fig.13.

13 shows only respective blocks 1301 and 1302 of image 1300. Image 1300 corresponds to image 1200 in FIG. Block 1301 corresponds to the bottommost coding block of coding block 17 in FIG. 12, while block 1302 corresponds to the topmost coding block of coding block 25 in FIG. The block edge 1303 corresponds to the block edge 1201 in FIG.

In order to limit the required linear memory in the above case, only the input filter sample value of four from the previous block 1301 is used, while only the number of output filter samples of three is modified. This results in a significant reduction in the amount of linear memory required, since only 8 x 256 x 4 = 8096 samples now need to be stored in linear memory.

Finally, FIG. 14 shows an embodiment of the deblocking method of the fourth aspect of the invention.

In a first step 1400, a first coding block and a second coding block of a block coded image separated by a block edge are provided.

In the second step 1401, the largest number I _A of sample values of the first coding block adjacent to a block edge is used as the input values of the first filter. In a second step 1402, the largest number I _B of second coding block sample values adjacent to a block edge is used as input to the second filter. In the fourth step 1403, the largest number M _A of the sample values of the first coding block adjacent to the edge of the block is modified as the output values of the first filter. Finally, in a fifth step 1404, at most M _B of second coding block sample values adjacent to a block edge is modified as the output values of the second filter. In this case M _A is not equal to M _B .

Note that the filter input values are consecutive values perpendicular to the box edge, starting at the box edge. Also, the output values of the filter are successive values perpendicular to the box edge, starting at the box edge.

The invention has been described herein with various embodiments. However, other variations of the disclosed embodiments may be understood and practiced by those skilled in the art in the practice of the claimed invention based on examination of the drawings, description, and appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the indefinite article "a" or "an" does not exclude plurality. One processor or other device can perform the functions of several elements specified in the claims. The mere fact that certain measures are set forth in generally different dependent claims does not mean that a combination of these measures cannot be used to advantage. The computer program may be stored/distributed on a suitable medium, such as an optical storage medium or solid state media provided with or as part of other equipment, but may also be distributed in other forms, such as over the Internet or other wired or wireless communication systems.

In embodiments, the term “memory” should be understood and/or should include [a list of all possible memories] magnetic disk, optical disk, read-only memory (ROM) or random access memory (EAM),… unless explicitly stated otherwise.

Wherever the embodiments and description refer to the term "network", the term "network" should be understood and/or should contain [a list of all possible memories]... unless explicitly stated otherwise.

One skilled in the art will appreciate that the "units" in the various drawings (method and apparatus) represent or describe the functionality of embodiments of the invention (and not necessarily individual "blocks" in hardware or software) and thus describe equally functions or features of device embodiments as well as method embodiments (block = step).

The terminology "blocks" is used merely for illustrative purposes of the functionality of encoder/decoder embodiments and is not intended to limit the present invention.

In several embodiments presented in the present invention, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiment described is merely exemplary. For example, the division into blocks is simply a division of logical functions and may be another division in the actual implementation. For example, many blocks or components may be combined or integrated into another system, or certain functions may be ignored or not performed. In addition, displayed or discussed reciprocal links or direct links or communication connections can be implemented using some interfaces. Indirect connections or communication connections between devices or units may be implemented in electronic, mechanical or other forms.

Blocks described as separate parts may or may not be physically separate, and parts displayed as blocks may or may not be physical blocks, may be located in the same position, or may be distributed over multiple network blocks. Some or all of the blocks may be selected according to actual needs in order to achieve the goals of the solutions of the embodiments.

Additionally, the functional blocks in the embodiments of the present invention may be integrated into a single processing unit, or each of the units may exist separately physically, or two or more units may be combined into one unit.

Embodiments of the invention may further comprise an apparatus, such as an encoder and/or decoder, that includes a processing circuit configured to perform any of the methods and/or processes described herein.

Embodiments may be implemented as hardware, firmware, software, or any combination thereof. For example, encoder/encoder or decoder/decoder functionality may be performed by a processing circuit with or without firmware or software, such as a processor, microcontroller, digital signal processor (DSP), field programmable gate array (FPGA), application specific integrated circuit (ASIC). ) etc.

The functionality of encoder 100 (and corresponding encoding method 100) and/or decoder 200 (and corresponding decoding method 200) may be implemented using program instructions stored on a computer-readable medium. Program instructions, when executed, cause a processing circuit, a computer, a processor, or the like. perform steps of encoding and/or decoding methods. The computer-readable medium may be any medium including a permanent medium on which the program is stored, such as a Bluray disc, DVD, CD, USB (flash), hard disk, server storage accessible via a network, and so on.

An embodiment of the invention comprises or is a computer program containing program code for performing any of the methods described herein when executed on a computer.

An embodiment of the invention comprises or is a computer-readable medium containing program code that, when executed by a processor, causes a computer system to perform any of the methods described herein.

LIST OF REFERENCES

Fig.1

100 encoder

103 image block

102 input (such as input port, input interface)

104 calculation of residual value [block or step]

105 residual block

106 transform (e.g., optionally containing scaling) [block or step]

107 converted odds

108 quantize [block or step]

109 quantized coefficients

110 inverse quantization [block or stage]

111 dequantized coefficients

112 inverse transform (eg, additionally containing scaling) [block or step]

113 block with inverse transformation

114 recovery [block or step]

115 restored block

116 (String) buffer [block or step]

117 reference samples

120 loop filter [block or stage]

121 filtered blocks

130 Decoded Picture Buffer (DPB) [block or step]

142 external evaluation (or external image evaluation) [block or step]

143 external evaluation parameters (e.g. reference picture/reference picture index, motion vector/displacement)

144 inter-prediction (or inter-picture prediction) [block or step]

145 inter prediction block

152 internal evaluation (or internal image evaluation) [block or step]

153 intra prediction parameters (such as intra prediction mode)

154 intra prediction (frame/picture intra prediction) [block or step]

155 intra prediction block

162 mode selection [block or step]

165 prediction block (inter prediction block 145 or intra prediction block 155)

170 entropy coding [block or step]

171 encoded image data (e.g. bitstream)

172 output (output port, output interface)

231 decoded pictures

Fig. 2

200 decoder

171 encoded image data (e.g. bitstream)

202 input (port/interface)

204 entropy decoding

209 quantized coefficients

210 inverse quantization

211 dequantized coefficients

212 inverse transformation (scaling)

213 back converted block

214 recovery (block)

215 restored block

216 (string) buffer

217 reference samples

220 loop filter (in loop filter)

221 filtered blocks

230 Decoded Picture Buffer (DPB)

231 decoded pictures

232 output (port/interface)

244 inter-prediction (inter-picture/frame prediction)

245 inter prediction block

254 intra prediction (image/frame intra prediction)

255 intra prediction block

260 mode selection

265 prediction block (inter prediction block 245 or intra prediction block 255)

Fig. 3

300 coding system

310 source device

312 source image

313 (raw) image data

314 preprocessor/preprocessor

315 preprocessed image data

318 block/communication interface

320 destination device

322 communication block/interface

326 postprocessor/postprocessor

327 post-processed image data

328 device/display unit

330 transmitted/received/reported (encoded) image data

Fig. four

400 image

401 first coding block

402 second coding block

403 third coding block

404 edge of first encoding block

405 edge of the second encoding block

406 first modified selections

407 second modified selections

Fig. 5

501 imaging devices

502 filter

Fig. 6

600 encoder

601 imaging devices

602 filter

Fig. 7

700 decoder

701 imaging devices

702 filter

Fig. eight

801 imaging devices

802 filter

803 decision block

Fig.9

900 image

901 first coding block

902 second coding block

903 third coding block

904 edge of first coding block

905 edge of the second encoding block

906 first input samples

907 first modified selections

908 second input samples

909 second modified selections

Fig. ten

1000 first stage

1001 second stage

1002 third stage

1003 fourth stage

1004 fifth stage

1005 sixth stage

1006 seventh stage

1007 eighth stage

1008 ninth stage

1009 tenth stage

1010 eleventh stage

1011 twelfth stage

1012 thirteenth stage

1013 fourteenth stage

1014 fifteenth stage

1015 sixteenth stage

Fig. eleven

1100 image

1101 first coding block

1102 second coding block

1103 third coding block

1104 edge of the first block

1105 edge of the second block

Fig. 12

1200 image

1201 block edge

CU1-

CU40 coding blocks 1-40

Fig.13

1300 image

1301 first coding block

1302 second coding block

1303 block edge

Fig. fourteen

1400 first stage

1401 second stage

1402 third stage

1403 fourth stage

1404 fifth stage

Claims (69)

1. An image processing device (501, 601, 701, 801) for use in the image encoder (600) and/or image decoder (700) to deblock the edges (904, 905, 1201, 1303) of the block between the first block (901 , 1301) encoding and a second image encoding unit (902, 1302) (900, 1200, 1300), wherein the first coding block (901, 1301) has a block size of S _A samples per N samples, with S _A samples arranged in a line perpendicular to the edge (904, 905, 1201, 1303) of the block, and N samples arranged in a line parallel to the edge ( 904, 905, 1201, 1303) block, the second coding block (902, 1302) has a block size of S _B samples per N samples, with S _B samples arranged in a line perpendicular to the edge (904, 905, 1201, 1303) of the block, and N samples arranged in a line parallel to the edge (904 , 905, 1201, 1303) block, while the image processing device (501, 601, 701, 801) contains a filter (502, 602, 702, 802) for filtering the edge (904, 905, 1201, 1303) of the block, configured to modifying values of no more than M _A samples of the first encoding block (901, 1301) as output values of the first filter, wherein said no more than M _A samples are arranged in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303) of the block; modifying values of no more than M _B samples of the second encoding block (902, 1302) as output values of the second filter, wherein said no more than M _B samples are arranged in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303) of the block; using values of no more than I _A samples of the first coding block (901, 1301) as input values of the first filter to calculate the output values of the first filter and/or the output values of the second filter, with no more than I _A samples arranged in a line perpendicular to and adjacent to the edge ( 904, 905, 1201, 1303) block; and using values of at most I _B samples of the second encoding block (902, 1302) as input values of the second filter to calculate the output values of the first filter and/or output values of the second filter, with no more than I _B samples arranged in a line perpendicular to and adjacent to the edge ( 904, 905, 1201, 1303) block; and S _A ≠S _B , I _A ≠I _B and M _A ≠M _B , while if S _A =8, filter (502, 602, 702, 802) is configured to set I _A to S _A /2 and M _A to S _A /2 or S _A /2 - 1. 2. The image processing apparatus (501, 601, 701, 801) of claim 1, further comprising a determiner (803) configured to determine whether an edge (904, 905, 1201, 1303) of the block should be filtered and/or should perform strong filtering or weak filtering, based on values of at most D _A samples of the first encoding block (901, 1301) as decision values of the first filter, with at most D _A samples arranged in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303) of the block; and values of at most D _B samples of the second coding block (902, 1302) as decision values of the second filter, with at most D _B samples arranged in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303) of the block. 3. The image processing apparatus (501, 601, 701, 801) of claim 2, wherein the input values of the first filter are identical to the decision values of the first filter, and the input values of the second filter are identical to the decision values of the second filter. 4. An image processing device (501, 601, 701, 801) according to any one of claims 1 to 3, wherein if the edge (1201) of the block is the horizontal edge (1201) of the block, and if the edge (1201) of the block overlaps with the edge of the block by the coding tree unit (CTU) of the picture (1200), and if the second coding block is the current block and the first coding block is an adjacent block of said current block, the filter (502, 602, 702, 802) is configured to be set - I _A in 4 and - M _A in 3 or 4. 5. An encoder for encoding an image (900, 1300), comprising an image processing device (501, 601, 701, 801) according to any one of claims 1 to 4. 6. An image decoder (900, 1300) comprising an image processing apparatus (501, 601, 701, 801) according to any one of claims 1 to 4. 7. A deblocking method for deblocking an edge (904, 905, 1201, 1303) of a block between the first encoding block (901, 1301) and the second encoding block (902, 1302) of the image encoding (900, 1200, 1300) when encoding the image, and/ or image decoding (1400), wherein the first coding block (901, 1301) has a block size of S _A samples per N samples, with S _A samples arranged in a line perpendicular to the edge (904, 905, 1201, 1303) of the block, and N samples arranged in a line parallel to the edge (904, 905 , 1201, 1303) block, the second coding block (902, 1302) has a block size of S _B samples per N samples, where the S _B samples are in a line perpendicular to the edge (904, 905, 1201, 1303) of the block, and the N samples are in a line parallel to the edge (904, 905 , 1201, 1303) block, while decoding contains filtering, containing steps in which: carry out modification (1403) values of no more than M _A samples of the first block (901, 1301) encoding as output values of the first filter, and these no more than M _A samples are located in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303 ) block; modifying (1404) values of no more than M _B samples of the second block (902, 1302) coding as output values of the second filter, and these no more than M _B samples are located in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303 ) block; use (1401) values of no more than I _A samples of the first encoding block (901, 1301) as input values of the first filter to calculate the output values of the first filter and/or output values of the second filter, with no more than I _A samples arranged in a line perpendicular and adjacent with the edge (904, 905, 1201, 1303) of the block; and use (1402) values of no more than I _B samples of the second block (902, 1302) coding as input values of the second filter to calculate the output values of the first filter and/or output values of the second filter, with no more than I _B samples located in a line perpendicular and adjacent with the edge (904, 905, 1201, 1303) of the block and and S _A ≠S _B , I _A ≠I _B and M _A ≠M _B , while if S _A =8, filter (502, 602, 702, 802) is configured to set I _A to S _A /2 and M _A to S _A /2 or S _A /2 - 1. 8. The method of claim 7, further comprising the step of: determine whether the edge (904, 905, 1201, 1303) of the block should be filtered and/or strong filtering or weak filtering should be performed, based on values of at most D _A samples of the first encoding block (901, 1301) as decision values of the first filter, with at most D _A samples arranged in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303) of the block; and values of at most D _B samples of the second coding block (902, 1302) as decision values of the second filter, with at most D _B samples arranged in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303) of the block. 9. The method of claim 8, wherein the input values of the first filter are identical to the decision values of the first filter, and the input values of the second filter are identical to the decision values of the second filter. 10. The method according to any one of claims 7 to 9, further comprising the step of: if the edge (1201) of the block is the horizontal edge (1201) of the block, and if the edge (1201) of the block overlaps with the edge of the block by the coding tree unit (CTU) of the picture (1200), and if the second coding block is the current block and the first coding block is an adjacent block of said current block, filter (502, 602, 702, 802) is set - I _A in 4 and - M _A in 3 or 4. 11. An encoding method for encoding an image (900, 1300), comprising the deblocking method according to any one of claims 7-10. 12. A decoding method for decoding an image (900, 1300), comprising the deblocking method according to any one of claims 7-10. 13. A non-volatile computer-readable storage medium storing program code causing, when executed by a computer, execution, by said computer, of deblocking steps in image encoding and/or image decoding processing to deblock the edge (904, 905, 1201, 1303) block between the first an encoding unit (901, 1301) and a second image encoding unit (902, 1302) (900, 1200, 1300) when encoding an image and/or decoding an image (1400), wherein the first coding block (901, 1301) has a block size of S _A samples per N samples, with S _A samples arranged in a line perpendicular to the edge (904, 905, 1201, 1303) of the block, and N samples arranged in a line parallel to the edge (904, 905 , 1201, 1303) block, the second coding block (902, 1302) has a block size of S _B samples per N samples, where the S _B samples are in a line perpendicular to the edge (904, 905, 1201, 1303) of the block, and the N samples are in a line parallel to the edge (904, 905 , 1201, 1303) block, while decoding contains filtering, containing steps in which: carry out modification (1403) values of no more than M _A samples of the first block (901, 1301) encoding as output values of the first filter, and these no more than M _A samples are located in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303 ) block; modifying (1404) values of no more than M _B samples of the second block (902, 1302) coding as output values of the second filter, and these no more than M _B samples are located in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303 ) block; use (1401) values of no more than I _A samples of the first encoding block (901, 1301) as input values of the first filter to calculate the output values of the first filter and/or output values of the second filter, with no more than I _A samples arranged in a line perpendicular and adjacent with the edge (904, 905, 1201, 1303) of the block; and use (1402) values of no more than I _B samples of the second block (902, 1302) coding as input values of the second filter to calculate the output values of the first filter and/or output values of the second filter, with no more than I _B samples located in a line perpendicular and adjacent with the edge (904, 905, 1201, 1303) of the block and and S _A ≠S _B , I _A ≠I _B and M _A ≠M _B , while if S _A =8, filter (502, 602, 702, 802) is configured to set I _A to S _A /2 and M _A to S _A /2 or S _A /2 - 1. 14. The non-volatile computer-readable storage medium of claim 13, wherein the program code, when executed by a computer, further causes said computer to execute: determining whether the edge (904, 905, 1201, 1303) of the block should be filtered and/or strong filtering or weak filtering should be performed, based on values of at most D _A samples of the first encoding block (901, 1301) as decision values of the first filter, with at most D _A samples arranged in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303) of the block; and values of at most D _B samples of the second coding block (902, 1302) as decision values of the second filter, with at most D _B samples arranged in a line perpendicular to and adjacent to the edge (904, 905, 1201, 1303) of the block. 15. The nonvolatile computer-readable storage medium of claim 14, wherein the input values of the first filter are identical to the decision values of the first filter, and the input values of the second filter are identical to the decision values of the second filter. 16. Non-volatile computer-readable storage medium according to any one of claims 13-15, in which: if the edge (1201) of the block is the horizontal edge (1201) of the block, if the edge (1201) of the block overlaps with the edge of the block by the coding tree unit (CTU) of the picture (1200), and if the second coding block is the current block and the first coding block is an adjacent block of said current block, the filter (502, 602, 702, 802), the program code, causes, when executed by the computer, execution by the installation computer - I _A in 4 and - M _A in 3 or 4.

Images