CN116320395A - Image processing method, device, electronic equipment and readable storage medium - Google Patents

Image processing method, device, electronic equipment and readable storage medium Download PDF

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CN116320395A
CN116320395A CN202211690874.5A CN202211690874A CN116320395A CN 116320395 A CN116320395 A CN 116320395A CN 202211690874 A CN202211690874 A CN 202211690874A CN 116320395 A CN116320395 A CN 116320395A
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image
sub
mode
compression
information
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李雄
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/103—Selection of coding mode or of prediction mode
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/136—Incoming video signal characteristics or properties
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/182—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/593—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques

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Abstract

The application discloses an image processing method, an image processing device, electronic equipment and a readable storage medium, and belongs to the technical field of communication. The method comprises the following steps: determining compression modes of M first sub-images corresponding to a first image frame of a target video, acquiring pixel information of at least one target pixel point in the first sub-image according to compression rules corresponding to the compression modes, and encoding the pixel information of the at least one target pixel point and the mode information of the compression modes to obtain a data stream corresponding to the first sub-image.

Description

Image processing method, device, electronic equipment and readable storage medium
Technical Field
The application belongs to the technical field of image processing, and particularly relates to an image processing method, an image processing device, electronic equipment and a readable storage medium.
Background
With the development of information technology, image technology is widely used, but for an image with a larger data volume, such as a video, in order to reduce the storage space or resources required for storing or transmitting the video, the video is usually compressed first.
In the related art, a frame compression method is generally adopted when video data is compressed, three kinds of frame compression algorithms are mainly adopted, and a method based on wavelet transformation is more common, however, when the method is adopted for compression, a large amount of calculation resources are required for calculation, so that the compression efficiency is low.
Disclosure of Invention
An object of the embodiments of the present application is to provide an image processing method, an image processing device, an electronic device, and a readable storage medium, which can solve the problem of low compression efficiency.
In a first aspect, an embodiment of the present application provides an image processing method, including: determining a compression mode of a first sub-image, wherein the first sub-image is a sub-image obtained by splitting the first image, acquiring pixel information of at least one target pixel point in the first sub-image according to a compression rule corresponding to the compression mode, and encoding the pixel information of the at least one target pixel point and the mode information of the compression mode of the first sub-image to obtain a data stream corresponding to the first sub-image.
In a second aspect, an embodiment of the present application provides an image processing apparatus, including: the device comprises a determining module, an acquiring module and a coding module, wherein: the determining module is used for determining a compression mode of a first sub-image, wherein the first sub-image is a sub-image obtained by splitting the first image, and the acquiring module is used for acquiring pixel information of at least one target pixel point in the first sub-image according to a compression rule corresponding to the compression mode determined by the determining module; the encoding module is configured to encode pixel information of the at least one target pixel point and mode information of a compression mode to obtain a data stream corresponding to the first sub-image.
In a third aspect, embodiments of the present application provide an electronic device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method as described in the first aspect.
In a fourth aspect, embodiments of the present application provide a readable storage medium having stored thereon a program or instructions which when executed by a processor implement the steps of the method according to the first aspect.
In a fifth aspect, embodiments of the present application provide a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and where the processor is configured to execute a program or instructions to implement a method according to the first aspect.
In a sixth aspect, embodiments of the present application provide a computer program product stored in a storage medium, the program product being executable by at least one processor to implement the method according to the first aspect.
In this embodiment of the present application, an image processing apparatus determines a compression mode of a first sub-image, where the first sub-image is a sub-image obtained by splitting a first image frame, and then obtains pixel information of at least one target pixel in the first sub-image according to a compression rule corresponding to the compression mode of the first sub-image, and encodes the pixel information of the at least one target pixel and the mode information of the compression mode of the first sub-image to obtain a data stream corresponding to the first sub-image. According to the method, the image processing device can acquire the pixel information of at least one target pixel point in the first sub-image according to the compression rule corresponding to the compression mode of the first sub-image, and obtain the compressed code stream comprising the pixel information of the at least one target pixel point and the compression mode information, so that the data volume during storing or transmitting the first sub-image can be reduced, and the method requires less calculation resources to calculate, so that the compression efficiency of the image frame can be effectively improved under the condition of ensuring the compression rate.
Drawings
Fig. 1 is a flowchart of an image processing method provided in an embodiment of the present application;
fig. 2 is a schematic diagram of a compression mode applied by the image processing method according to the embodiment of the present application;
fig. 3 is a schematic flow chart of an image processing method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 6 is a schematic hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
Technical solutions in the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type and not limited to the number of objects, e.g., the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
The image processing method provided by the embodiment of the application is described in detail below by means of specific embodiments and application scenes thereof with reference to the accompanying drawings.
The image processing method provided by the embodiment of the application can be applied to scenes in which the image is subjected to noise reduction, the video is subjected to noise reduction, object motion detection and the like.
In the related art, when processing video data, it is generally required to buffer the video data in a buffer first. For example, in a System-on-a-chip (SOC) including a video processing subsystem, data of image frames of an entire video stream is typically buffered in a buffer, so that when the image frames of the entire video stream are written into the buffer, bus bandwidth required to be consumed is greater, and larger power consumption is generated, particularly for a processing System of a video stream with larger resolution, a requirement for a buffer size (buffer size) of the System is higher, and larger bus bandwidth is consumed, and larger power consumption is generated, thereby resulting in poor System performance.
In the image processing method provided in the embodiment of the present application, when an image frame of video data needs to be cached in a target buffer, an image processing device may split the image frame into a plurality of sub-images, determine a compression mode of each sub-image, then obtain pixel information of at least one target pixel point in the sub-image according to a compression rule corresponding to the compression mode of the sub-image, and encode the pixel information and the compression mode information of the at least one target pixel point, where the data stream corresponding to the sub-image is obtained, and after the above processing process is repeatedly performed on each sub-image, the compressed code stream of the image frame can be obtained, so that the data amount during storing or transmitting the first image frame can be effectively reduced, and then the compressed code stream is written into the target buffer, thereby reducing the bus bandwidth consumed by storing the image frame in the target buffer, and reducing the system power consumption. On the other hand, since the sub-image corresponding to the image frame is processed, the amount of data to be calculated is small, and the calculation efficiency and the system instantaneity are high.
Fig. 1 is a flowchart of a compression method provided in an embodiment of the present application, as shown in fig. 1, the compression method provided in an embodiment of the present application may include the following steps 210 to 203:
step 201: the image processing apparatus determines a compression mode of the first sub-image.
The first sub-image is a sub-image obtained by splitting the first image.
Alternatively, in the embodiment of the present application, the first image may be an image frame in the target video.
Alternatively, in the embodiment of the present application, the target video may be a video shot in real time, or may be a video shot and stored in advance.
Alternatively, in the embodiment of the present application, the image processing apparatus may convert the target video into a video stream, that is, process the target video as a stable and continuous stream, and then extract image frames from the video stream frame by frame, to obtain the first image.
Alternatively, in the embodiment of the present application, in the case where the first image is one image frame of the target video, the image processing apparatus may extract one image frame of the target video at a time, and split the one image frame to obtain M first sub-images corresponding to the image frame.
Alternatively, in the embodiment of the present application, the M first sub-images may include at least two first sub-images, that is, M is an integer greater than 1.
Optionally, in this embodiment of the present application, the M first sub-images are M image blocks (i.e., blocks) corresponding to the first image frame.
Alternatively, in the embodiment of the present application, the image processing apparatus may perform image segmentation processing on the first image to obtain M first sub-images.
Alternatively, in the embodiment of the present application, the image size of the first sub-image may be a preset image size. Alternatively, the image processing apparatus may perform image division processing on the first image frame according to a preset image size, and divide the first image frame into M first sub-images having a consistent image size.
Alternatively, the preset image size may be 4×4, 8×8, 16×16, or the like, which is not limited in the embodiment of the present application. It should be noted that, the preset image size may be selected according to actual requirements, and the smaller the preset image size is, the higher the processing accuracy is.
For example, taking a first image frame of a first image as a target video as an example, assuming that the image resolution of the first image frame is 1280×960 and the preset image size is 4×4, the image processing apparatus may divide the first image frame into a plurality of sub-images of 4×4 size, each of the 4×4 sub-images being independently compressed.
The image resolution is 1280×960, that is, the image size is 1280×960 in px.
The number of pixels of the first image frame or the first image is the sum of the pixels of the M first sub-images, that is, each sub-image does not include repeated pixels, and when the first image is divided, the sub-images obtained after the division do not overlap each other.
Alternatively, in the embodiment of the present application, the compression mode may be a preset compression mode, or a compression mode determined according to an image feature of the first sub-image.
It should be noted that, the compression effect of different compression modes on the same image is different, and the compression effect is related to the image feature, so that the optimal compression mode for performing compression processing on the image can be selected based on the image feature of the image, so that less image information can be lost in the subsequent image restoration, and the original image information of the image can be restored to the greatest extent.
Alternatively, in the embodiment of the present application, the compression mode may be used to extract at least one corresponding target pixel point from the first sub-image, so as to obtain a code stream (i.e., a data stream) including the at least one target pixel point, that is, a code stream obtained by compressing the first sub-image.
Further, in the case that an image needs to be recovered from the code stream, pixel information of the at least one target pixel point may be decoded from the code stream, and then the at least one target pixel point may be subjected to predictive coding in the compression mode, so as to obtain a coded sub-image.
It will be appreciated that the sub-image is an image of the first sub-image in which some of the information is lost, which is typically information that is not visible to the naked eye of the user, without affecting the user's look and feel of the image.
It should be noted that, the image processing method provided in the embodiment of the present application is lossy compression, where lossy compression uses the characteristic that human eyes are insensitive to certain frequency components in an image or an acoustic wave, and allows certain information to be lost in the compression process; although the original data cannot be completely restored, the lost part has reduced influence on understanding the original image, but can obtain a larger compression ratio, and is particularly suitable for a low-power-consumption video processing system.
Since the compression mode may be used for predictive coding of an image in the following, the compression mode may be referred to as a coding mode and the compression rule may be referred to as a coding rule.
Optionally, in this embodiment, six compression modes are provided, fig. 2 is a schematic diagram of the six compression modes, as shown in fig. 2, a first sub-image is a 4×4 size image, the image has 16 pixels, the first sub-image can be regarded as a two-dimensional array of 4 rows×4 columns, where each row and each column contains 4 pixels, and the algorithms of the six compression modes are respectively:
compression mode 1: and acquiring data of a first column in the first sub-image, and filling the data of the first column into data of a second column to a fourth column of the two-dimensional image.
For example, after acquiring the data of the first column in the first sub-image, a two-dimensional image may be generated based on the data of the first column, where the pixel value of the pixel point of the first column is the pixel value of the pixel point of the first column of the first sub-image, and then the data of the first column is used as the data of the second column to the fourth column of the two-dimensional image.
Compression mode 2: and acquiring data of a first row in the first sub-image, and filling the data of the first row into a second row to a fourth row of the two-dimensional image.
It should be noted that, the specific calculation manner of the compression mode 2 may be referred to the compression mode 1, which is not described herein.
Compression mode 3: and acquiring data of a first row and a first column in the first sub-image, and taking the pixel values of the pixel points of the first row and the first column as the pixel values of the pixel points at the right lower part of the pixel points in the two-dimensional image.
Compression mode 4: and acquiring data of a first row and a fourth column in the first sub-image, and taking the pixel values of the pixel points of the first row and the fourth column as the pixel values of the pixel point at the lower left side of the pixel point in the two-dimensional image.
In the compression modes 1 to 4, the arrow direction in fig. 2 shows the filling order of data, the pixel value at the position where the arrow starts is the original pixel value in the first sub-image, and the original pixel value at the position where the arrow starts is determined as the pixel value at each position where the arrow passes, that is, the pixel value of the pixel point at the position where one arrow passes is the same.
Compression mode 5: acquiring data of a first row and a first column in a first sub-image, taking pixel values of pixel points of the first row and the first column as pixel values of the pixel points of the first row and the first column in a two-dimensional image, calculating average values of pixel values of adjacent pixel points above and below the pixel point and pixel points at the upper left corner of the pixel point for other pixel points in the two-dimensional image, taking the average values as the pixel values of the pixel points, and so on.
Note that, the pixel value of the pixel point at the end point of the arrow in fig. 2 is an average value of the pixel values of the pixel points at the start points of the three arrows.
Compression mode 6: and acquiring data of a first row and a first column in the first sub-image, taking pixel values of pixel points of the first row and the first column as pixel values of the pixel points of the first row and the first column in the two-dimensional image, calculating average values of adjacent pixel points above and below the pixel points for other pixel points in the two-dimensional image, taking the average values as the pixel values of the pixel points, and the like.
It should be noted that the data of the above-mentioned row or column may be a pixel value, such as a gray value, of a pixel point of the row or column.
Note that, the pixel value of the pixel point at the end point of the arrow in fig. 2 is an average value of the pixel values of the pixel points at the start points of the two arrows.
In fig. 2, row represents a row, and row0 represents a first row. row_mode represents a line mode and corresponds to the compression mode 1; col_mode represents a column pattern corresponding to the compression pattern 2; left_mode represents a left mode, corresponding to the compression mode 3 described above; right_mode represents a right mode, corresponding to the compression mode 4 described above; blk_2×2_mode represents a 2×2 block mode, and corresponds to the compression mode 5; avg_mode represents an average mode and corresponds to the compression mode 5.
Step 202: the image processing device acquires pixel information of at least one target pixel point in the first sub-image according to a compression rule corresponding to a compression mode of the first sub-image.
Alternatively, in the embodiment of the present application, the compression rule corresponding to the compression mode may be preset, and one compression mode may correspond to one compression rule.
Illustratively, taking the compression mode as the compression mode 1, the compression rule corresponding to the compression mode is to fill the data of the first column into the data of the second column to the fourth column of the two-dimensional image, that is, to compress the image based on the data of the first column in the first sub-image.
It should be noted that, the compression rules corresponding to other compression modes may refer to the algorithm of each compression mode, which is not described herein.
Optionally, in this embodiment of the present application, the first sub-image includes R data lines and L data columns, one data line includes L pixel points, one data column includes R pixel points, and R, L is an integer greater than 1.
Wherein, when the compression mode is a line mode, the at least one target pixel includes a pixel of a first data column in the first sub-image.
For ease of description, one data line of the first sub-image is denoted as a row, for example, the first data line may be denoted as a first row.
Alternatively, in the embodiment of the present application, the pixel information of the pixel point may include: pixel values. In some cases, location information of the pixel points in the image may also be included.
Illustratively, taking an image with a size of 4×4 as the first sub-image as an example, the compression mode is compression mode 1 as an example, the pixel information of the at least one target pixel is: the pixel values of the 4 pixels of the first column of the first sub-image.
Illustratively, taking the first sub-image as an image with a size of 4×4 as an example, the compression mode is compression mode 3 as an example, the pixel information of the at least one target pixel is: the pixel values of the 4 pixels of the first row and the 4 pixels of the first column of the first sub-image.
Note that, since the first pixel point of the first row and the first pixel point of the first column are the same pixel point, the N pixel points include 7 pixel points in total.
Illustratively, taking the first sub-image as an image with a size of 4×4 as an example, the compression mode is compression mode 4 as an example, and the pixel information of the at least one target pixel is: the pixel values of the 4 pixels of the first row and the 4 pixels of the fourth column of the first sub-image.
Note that, since the first pixel point of the first row and the first pixel point of the fourth column are the same pixel point, the N pixel points include 7 pixel points in total.
Step 203: the image processing device encodes the pixel information of the at least one target pixel point and the mode information of the compression mode of the first sub-image to obtain a data stream corresponding to the first sub-image.
Alternatively, in the embodiment of the present application, when the image processing apparatus acquires the pixel information of the at least one target pixel, the image processing apparatus may encode the pixel information and the mode information of the compressed mode to obtain a compressed code stream including the pixel information and the mode information.
Taking compression mode as compression mode 1, the first sub-image is a 4×4 image, and in combination with the above embodiment, the first sub-image has 16 pixels, and the total bit number required for storing or transmitting the complete first sub-image is 160 bits assuming that each pixel value corresponds to 10 bits. After compression in compression mode 1, only the pixel values and mode information of the 4 pixels in the first column of the acquired first sub-image need to be transmitted, and assuming that each pixel value corresponds to 10 bits, and the mode information in compression mode 1 corresponds to 000 bits, that is, 3 bits, only the 4 pixel values and the mode information in compression mode 1 need to be transmitted, and the total bits needed are 43 bits (that is, 40bit pixel value data+3 bit mode data), in such compression mode, the compression rate of the image is about 26.8% (that is, 43/160).
Taking the compressed mode as the compressed mode 3, the first sub-image is an image with the size of 4×4, in combination with the above embodiment, after the compression in the compressed mode 3, only the pixel value and the mode information of the first column and the first column of the obtained first sub-image, which are 7 pixels in total, need to be transmitted, and assuming that each pixel value corresponds to 10 bits, the mode information of the compressed mode 3 corresponds to a bit value of 002, that is, 3 bits, only the 7 pixel values and the mode information corresponding to the compressed mode 1 need to be stored or transmitted, and the total bit needed is 73 bits (that is, 70bit pixel value data+3 bit mode data), and in this compressed mode, the compression rate of the image is about 45.6% (that is, 73/160).
In this way, the image processing method is provided in the embodiment of the present application, the image processing device determines a compression mode of a first sub-image, where the first sub-image is a sub-image obtained by splitting a first image frame, then obtains pixel information of at least one target pixel point in the first sub-image according to a compression rule corresponding to the compression mode of the first sub-image, and encodes the pixel information of the at least one target pixel point and the mode information of the compression mode of the first sub-image to obtain a data stream corresponding to the first sub-image. According to the method, the image processing device can acquire the pixel information of at least one target pixel point in the first sub-image according to the compression rule corresponding to the compression mode of the first sub-image, and obtain the compressed code stream comprising the pixel information of the at least one target pixel point and the compression mode information, so that the data volume during storing or transmitting the first sub-image can be reduced, and the method requires less calculation resources to calculate, so that the compression efficiency of the image frame can be effectively improved under the condition of ensuring the compression rate.
Optionally, in an embodiment of the present application, after the step 203, the image processing method provided in the embodiment of the present application further includes the following step 204:
step 204: the image processing device stores the data stream corresponding to the first sub-image into a target buffer area.
For example, the image processing apparatus may write the above data stream into the target buffer, and may subsequently read the data stream from the target buffer and restore the image frame, so that subsequent processing operations, such as motion detection, noise reduction, and the like, can be performed based on the image frame.
By way of example, in combination with the above embodiment, taking one image frame of the first image as the target video as an example, the image processing device acquires one image frame of the target video, and for each image frame, acquires M first sub-images corresponding to the one image frame, and then, the image processing device may process each first sub-image in the M first sub-images in parallel or in serial, respectively, and encode the target pixel point information of each acquired first sub-image, and store the encoded target pixel point information in the target buffer, so as to obtain a compressed code stream corresponding to the first image frame, thereby being capable of storing or transmitting the compressed code stream, reducing resources consumed during transmission and reducing power consumption. Further, the image processing apparatus may perform processing such as decoding of the compressed code stream to restore the image frame.
For example, in the case where all image frames of the target video need to be cached, the above-described processing procedure may be performed on each image frame in a parallel or serial manner, so as to obtain compressed code streams corresponding to all image frames of the target video.
It should be noted that Buffer represents a Buffer, which is a part of the memory space, and can store binary data. That is, a certain memory space is reserved in the memory space, and the memory spaces are used for buffering input or output data, and generally, when data is read and written, the data can be sent to a buffer area for buffering, and when the buffer area is full, the number of times of reading and writing can be greatly reduced, so that more time can be saved.
According to the image processing method, the data streams after the compression of the plurality of first sub-images can be cached in the buffer area, so that the area of the buffer area can be reduced, the bus bandwidth consumed by reading and writing data from the buffer area is reduced, the power consumption generated when the system reads the data is reduced, and the system performance is improved.
Optionally, in an embodiment of the present application, the image processing method provided in the embodiment of the present application further includes the following steps 205 to 207:
Step 205: the image processing device acquires a data stream corresponding to the first sub-image from the target buffer area.
Step 206: the image processing device decodes the data stream to obtain pixel information of at least one target pixel point in the first sub-image and mode information of the target coding mode.
Step 207: the image processing device generates a second sub-image based on the pixel information of the at least one target pixel and the mode information of the compression mode.
The second sub-image is a sub-image obtained by performing predictive coding on the first sub-image.
For example, the image processing apparatus may acquire a data stream buffered in the target buffer and input the data stream to the decoder.
The image processing apparatus may decode the data stream by a decoder to obtain pixel information of at least one target pixel point in the first sub-image and mode information of the target encoding mode.
For example, the image processing device may generate a two-dimensional array, which may characterize an image, from pixel values of at least one target pixel point in the first sub-image. And then, carrying out predictive coding on the data in the two-dimensional array through the coding mode of the first sub-image to obtain two-dimensional data representing a second sub-image, so as to obtain the second sub-image, wherein the second sub-image is an image after partial information is lost from the first sub-image.
Taking compressed mode 1 as an example, the first sub-image is an image with a size of 4×4, and the image processing device obtains the pixel values of 4 pixels in the first sub-image and the mode information corresponding to the compressed mode 1, encodes the information to obtain a data stream, and then buffers the data stream in a buffer, and then the image processing device may obtain the data stream from the buffer, and decode the data stream to obtain a compressed mode field (i.e., mode information) and a data field (i.e., pixel information) of the first sub-image, and recover the first sub-image according to the mode field and the data field.
Here, restoring the first sub-image refers to obtaining the second sub-image including most of the image information in the first sub-image.
Fig. 3 is a flowchart of an image processing method according to an embodiment of the present application. Taking the example of the first sub-image as a 4×4 image as shown in fig. 3, the image processing apparatus inputs the image data of the first sub-image to an encoder (decoder) to encode by each compression mode, determines an optimal compression mode, then determines at least one pixel point to be encoded in the first sub-image according to the optimal compression mode, writes the compressed code stream of the pixel value information of the at least one pixel point and the mode information of the optimal compression mode into a buffer, then the video processing apparatus can read the compressed code stream into a decoder (decoder), decodes the compressed code stream by the decoder to obtain mode information and pixel value information corresponding to the first sub-image, and finally obtains a second sub-image according to the mode information and the pixel value information.
Note that the image data of the first sub-image may be expressed as 4×4block data; the optimal compression mode may be expressed as mux best mode; the mode information may be represented as mode and the pixel value information may be represented as data.
Therefore, the image processing device can acquire the compressed code stream from the target buffer zone, can quickly recover the image based on the compressed code stream, reduces the bus bandwidth consumed when the data code stream is acquired from the buffer zone, and reduces the power consumption, thereby improving the system performance.
Alternatively, in the embodiment of the present application, the above step 201 may include the following steps 201a and 201b:
step 201a: the image processing device carries out predictive coding on the first sub-image according to coding rules corresponding to the X compression modes to obtain X third sub-images corresponding to the first sub-image.
Step 201b: the image processing device determines the compression mode of the first sub-image according to the difference value of the pixel values of the corresponding pixel points in the X third sub-images and the first sub-image.
It should be noted that, the X compression modes may be compression modes 1 to 6 in the above embodiment, and the explanation of each compression mode may be referred to above, which is not repeated here.
The compression mode is, for example, a compression mode corresponding to a third sub-image having a smallest average value of pixel values of corresponding pixels of the first sub-image among the X third sub-images.
For example, in the third sub-image, the pixel corresponding to the first sub-image may be at least part of the pixel of the first sub-image.
For example, the image processing apparatus may perform predictive coding on the first sub-image through the six compression modes, so as to obtain six coded third sub-images corresponding to the first sub-image. Then, the image processing apparatus may calculate differences in pixel values of the pixel points corresponding to the first sub-image and each third sub-image, respectively, and then calculate an average value of the differences in the corresponding pixel points, and determine a compression mode corresponding to the third sub-image having the smallest average value as the compression mode.
The corresponding pixel point is, for example, a pixel point in the first sub-image at the same position as the pixel point in the third sub-image, for example, a first pixel point in the first line in the first sub-image corresponds to a first pixel point in the first line in the third sub-image.
The first sub-image and the third sub-image have the same image size.
Taking the first sub-image as an example of a 2×2 image, after performing predictive coding on the first sub-image in the above six compression modes to obtain six third sub-images, for one of the third sub-images, assuming that the pixel value difference between the pixel point of the first line in the third sub-image and the pixel point of the first line in the first sub-image is 2, the pixel value difference between the pixel point of the second line in the third sub-image and the pixel point of the second line in the first sub-image is 4, the pixel value difference between the pixel point of the second line in the third sub-image and the pixel point of the first line in the first sub-image is 5, and the pixel value difference between the pixel point of the second line in the second sub-image and the pixel point of the second line in the third sub-image is 1, then the average value of the pixel difference between the pixel point of the first sub-image and the corresponding pixel point in the third sub-image is 3, i.e. (2+4+4)/4.
Taking an example that the first sub-image is an image B with a size of 4×4 as an example, the image processing apparatus performs predictive encoding on the first sub-image through compression modes 1 to 6 to obtain an image B1, an image B2, an image B3, an image B4, an image B5 and an image B6 with a size of 4×4, respectively, where an average value of pixel value differences between pixels corresponding to the image B2 and the image B is the smallest, and the image B2 is obtained after encoding the image B through compression mode 2, which means that an image obtained after predictive encoding the image B through compression mode 2 (i.e., the image B2) is closest to the original image B, that is, the compression mode 2 is an optimal compression mode or encoding mode of the image B. Thus, the compression mode 2 is determined as the compression mode.
In this way, the image processing apparatus can select the mode with the smallest difference value as the optimal mode according to the output of each compression mode and the average value of the pixel difference values of the original sub-images, thereby being capable of reducing the information loss of the original images in the compression process.
According to the image processing method provided by the embodiment of the application, the execution subject can be an image processing device. In the embodiment of the present application, an image processing apparatus provided in the embodiment of the present application will be described by taking an example in which the image processing apparatus executes an image processing method.
Fig. 4 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application, and as shown in fig. 4, the image processing apparatus 400 includes: a determining module 401, an acquiring module 402, and an encoding module 403, wherein:
the determining module 401 is configured to determine compression modes of M first sub-images corresponding to a first image frame of the target video; the obtaining module 402 is configured to obtain pixel information of at least one target pixel point in the first sub-image according to the compression rule corresponding to the compression mode determined by the determining module; the encoding module 403 is configured to encode pixel information of the at least one target pixel point and mode information of the compression mode, so as to obtain a data stream corresponding to the first sub-image.
Optionally, in this embodiment of the present application, the first sub-image includes R data rows and L data columns, one data row includes L pixel points, one data column includes R pixel points, and R, L is an integer greater than 1;
in the case that the compressed mode is a line mode, the at least one target pixel includes a pixel of a first data column in the first sub-image.
Optionally, in an embodiment of the present application, the apparatus further includes: a storage module;
and the storage module is used for storing the data quantity corresponding to the first sub-image into a target buffer area.
Optionally, in an embodiment of the present application, the apparatus further includes: decoding module and generating module, wherein: the acquisition module is further configured to acquire a data stream corresponding to the first sub-image from the target buffer area; the decoding module is used for decoding the data stream to obtain pixel information of at least one target pixel point in the first sub-image and mode information of the target coding mode; the generating module is configured to generate a second sub-image based on the pixel information of the at least one target pixel point and the mode information of the compressed mode, where the second sub-image is a sub-image obtained by encoding the first sub-image.
Optionally, in this embodiment of the present application, the encoding module is further configured to encode the first sub-image according to an encoding rule corresponding to X compression modes, to obtain X third sub-images; the determining module is specifically configured to determine a target encoding mode of the first sub-image according to difference values between the X third sub-images obtained by encoding by the encoding module and corresponding pixel points in the first sub-image.
According to the image processing device provided by the embodiment of the application, the image processing device determines the compression mode of a first sub-image, wherein the first sub-image is a sub-image obtained after splitting a first image frame, then obtains the pixel information of at least one target pixel point in the first sub-image according to the compression rule corresponding to the compression mode of the first sub-image, and encodes the pixel information of the at least one target pixel point and the mode information of the compression mode of the first sub-image to obtain the data stream corresponding to the first sub-image. According to the method, the image processing device can acquire the pixel information of at least one target pixel point in the first sub-image according to the compression rule corresponding to the compression mode of the first sub-image, and obtain the compressed code stream comprising the pixel information of the at least one target pixel point and the compression mode information, so that the data volume during storing or transmitting the first sub-image can be reduced, and the method requires less calculation resources to calculate, so that the compression efficiency of the image frame can be effectively improved under the condition of ensuring the compression rate.
The image processing apparatus in the embodiment of the present application may be an electronic device, or may be a component in an electronic device, for example, an integrated circuit or a chip. The electronic device may be a terminal, or may be other devices than a terminal. By way of example, the electronic device may be a mobile phone, tablet computer, notebook computer, palm computer, vehicle-mounted electronic device, mobile internet appliance (Mobile Internet Device, MID), augmented reality (augmented reality, AR)/Virtual Reality (VR) device, robot, wearable device, ultra-mobile personal computer, UMPC, netbook or personal digital assistant (personal digital assistant, PDA), etc., but may also be a server, network attached storage (Network Attached Storage, NAS), personal computer (personal computer, PC), television (TV), teller machine or self-service machine, etc., and the embodiments of the present application are not limited in particular.
The image processing apparatus in the embodiment of the present application may be an apparatus having an operating system. The operating system may be an Android operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of the present application.
The image processing apparatus provided in this embodiment of the present application can implement each process implemented by the embodiments of the methods of fig. 1 to 3, and in order to avoid repetition, a description is omitted here.
Optionally, as shown in fig. 5, the embodiment of the present application further provides an electronic device 500, including a processor 501 and a memory 502, where the memory 502 stores a program or an instruction that can be executed on the processor 501, and the program or the instruction implements each step of the embodiment of the image processing method when executed by the processor 501, and the steps achieve the same technical effects, so that repetition is avoided, and no further description is given here.
The electronic device in the embodiment of the application includes the mobile electronic device and the non-mobile electronic device described above.
Fig. 6 is a schematic hardware structure of an electronic device implementing an embodiment of the present application.
The electronic device 100 includes, but is not limited to: radio frequency unit 101, network module 102, audio output unit 103, input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, and processor 110.
Those skilled in the art will appreciate that the electronic device 100 may further include a power source (e.g., a battery) for powering the various components, and that the power source may be logically coupled to the processor 110 via a power management system to perform functions such as managing charging, discharging, and power consumption via the power management system. The electronic device structure shown in fig. 6 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than shown, or may combine certain components, or may be arranged in different components, which are not described in detail herein.
The processor 110 is configured to determine a compression mode of a first sub-image, where the first sub-image is a sub-image obtained by splitting the first image; the processor 110 is configured to obtain pixel information of at least one target pixel point in the first sub-image according to a compression rule corresponding to the compression mode determined by the processor 110; the processor 110 is configured to encode pixel information of the at least one target pixel point and mode information of the compressed mode to obtain a data stream corresponding to the first sub-image.
Optionally, in this embodiment of the present application, the first sub-image includes R data rows and L data columns, one data row includes L pixel points, one data column includes R pixel points, and R, L is an integer greater than 1;
in the case that the compressed mode of the first sub-image is a line mode, the at least one target pixel point includes a pixel point of a first data column in the first sub-image.
Optionally, in an embodiment of the present application, the memory 109 is configured to store a data stream corresponding to the first sub-image in a target buffer.
Optionally, in an embodiment of the present application, wherein: the processor 110 is further configured to obtain a data stream corresponding to the first sub-image from the target buffer; the processor 110 is configured to decode the data stream to obtain pixel information of at least one target pixel point in the first sub-image and mode information of the target coding mode; the processor 110 is configured to generate a second sub-image based on the pixel information of the at least one target pixel point and the mode information of the compressed mode, where the second sub-image is a sub-image obtained by encoding the first sub-image.
Optionally, in this embodiment of the present application, the processor 110 is further configured to encode the first sub-image according to an encoding rule corresponding to the X compression modes, to obtain X third sub-images corresponding to the first sub-image; the processor 110 is specifically configured to determine a compression mode of the first sub-image according to a difference value between pixel values of corresponding pixel points in the X third sub-images and the first sub-image obtained by encoding by the processor 110.
According to the electronic device provided by the embodiment of the application, the electronic device determines the compression mode of M first sub-images corresponding to the first image frame of the target image sequence, acquires the pixel information of at least one target pixel point in the first sub-images according to the compression rule corresponding to the compression mode, and then encodes the pixel information of the at least one target pixel point and the mode information of the compression mode to obtain the data stream corresponding to the first sub-images. According to the method, the image processing device can acquire the pixel information of at least one target pixel point in the first sub-image according to the compression rule corresponding to the compression mode of the first sub-image, and obtain the compressed code stream comprising the pixel information of the at least one target pixel point and the compression mode information, so that the data volume during storing or transmitting the first sub-image can be reduced, and the method requires less calculation resources to calculate, so that the compression efficiency of the image frame can be effectively improved under the condition of ensuring the compression rate.
It should be appreciated that in embodiments of the present application, the input unit 104 may include a graphics processor (Graphics Processing Unit, GPU) 1041 and a microphone 1042, the graphics processor 1041 processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The display unit 106 may include a display panel 1061, and the display panel 1061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 107 includes at least one of a touch panel 1071 and other input devices 1072. The touch panel 1071 is also referred to as a touch screen. The touch panel 1071 may include two parts of a touch detection device and a touch controller. Other input devices 1072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and so forth, which are not described in detail herein.
Memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a first memory area storing programs or instructions and a second memory area storing data, wherein the first memory area may store an operating system, application programs or instructions (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like. Further, the memory 109 may include volatile memory or nonvolatile memory, or the memory 109 may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM), static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (ddr SDRAM), enhanced SDRAM (Enhanced SDRAM), synchronous DRAM (SLDRAM), and Direct RAM (DRRAM). Memory 109 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.
Processor 110 may include one or more processing units; optionally, the processor 110 integrates an application processor that primarily processes operations involving an operating system, user interface, application programs, etc., and a modem processor that primarily processes wireless communication signals, such as a baseband processor. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the embodiment of the image processing method, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.
Wherein the processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes computer readable storage medium such as computer readable memory ROM, random access memory RAM, magnetic or optical disk, etc.
The embodiment of the application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled with the processor, and the processor is used for running a program or an instruction, so as to implement each process of the embodiment of the image processing method, and achieve the same technical effect, so that repetition is avoided, and no redundant description is provided here.
It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, chip systems, or system-on-chip chips, etc.
The embodiments of the present application provide a computer program product stored in a storage medium, where the program product is executed by at least one processor to implement the respective processes of the embodiments of the image processing method described above, and achieve the same technical effects, and are not repeated herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the methods described in the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.

Claims (13)

1. An image processing method, the method comprising:
determining a compression mode of a first sub-image, wherein the first sub-image is a sub-image obtained by splitting the first image;
acquiring pixel information of at least one target pixel point in the first sub-image according to a compression rule corresponding to a compression mode of the first sub-image;
and coding the pixel information of the at least one target pixel point and the mode information of the compression mode of the first sub-image to obtain a data stream corresponding to the first sub-image.
2. The method of claim 1, wherein the first sub-image comprises R data lines and L data columns, one data line comprising L pixels and one data column comprising R pixels, R, L being an integer greater than 1;
in the case that the compressed mode of the first sub-image is a line mode, the at least one target pixel point includes a pixel point of a first data column in the first sub-image.
3. The method according to claim 1 or 2, wherein the encoding the pixel information of the at least one target pixel point and the mode information of the compressed mode of the first sub-image, after obtaining the data stream corresponding to the first sub-image, further comprises:
And storing the data stream corresponding to the first sub-image into a target buffer area.
4. A method according to claim 3, characterized in that the method further comprises:
acquiring a data stream corresponding to the first sub-image from the target buffer area;
decoding the data stream to obtain pixel information of at least one target pixel point in the first sub-image and mode information of an encoding mode of the first sub-image;
generating a second sub-image based on pixel information of at least one target pixel point of the first sub-image and mode information of a compression mode of the first sub-image;
the second sub-image is an image obtained by encoding the first sub-image.
5. The method of claim 1, wherein determining the compression mode of the first sub-image comprises:
encoding the first sub-image according to encoding rules corresponding to the X compression modes to obtain X third sub-images corresponding to the first sub-image;
and determining a compression mode of the first sub-image according to the difference value of the pixel values of the corresponding pixel points in the X third sub-images and the first sub-image.
6. An image processing apparatus, characterized in that the apparatus comprises: the device comprises a determining module, an acquiring module and a coding module, wherein:
the determining module is used for determining a compression mode of a first sub-image, wherein the first sub-image is a sub-image obtained by splitting the first image;
the acquisition module is used for acquiring pixel information of at least one target pixel point in the first sub-image according to the compression rule corresponding to the compression mode of the first sub-image determined by the determination module;
the encoding module is configured to encode pixel information of the at least one target pixel point and mode information of the compression mode to obtain a data stream corresponding to the first sub-image.
7. The apparatus of claim 6, wherein the first sub-image comprises R data lines and L data columns, one data line comprising L pixels and one data column comprising R pixels, R, L being an integer greater than 1;
in the case that the compressed mode of the first sub-image is a line mode, the at least one target pixel point includes a pixel point of a first data column in the first sub-image.
8. The apparatus according to claim 6 or 7, characterized in that the apparatus further comprises: a storage module;
And the storage module is used for storing the data stream corresponding to the first sub-image into a target buffer area.
9. The apparatus of claim 8, wherein the apparatus further comprises: decoding module and generating module, wherein:
the acquisition module is further configured to acquire a data stream corresponding to the first sub-image from the target buffer area;
the decoding module is used for decoding the data stream to obtain pixel information of at least one target pixel point in the first sub-image and mode information of a coding mode of the first sub-image;
the generating module is configured to generate a second sub-image based on pixel information of at least one target pixel point of the first sub-image and mode information of a compression mode of the first sub-image, where the second sub-image is a sub-image obtained by encoding the first sub-image.
10. The apparatus of claim 6, wherein the device comprises a plurality of sensors,
the encoding module is further configured to encode the first sub-image according to encoding rules corresponding to the X compression modes, so as to obtain X third sub-images corresponding to the first sub-image;
the determining module is specifically configured to determine a compression mode of the first sub-image according to a difference value between the X third sub-images obtained by encoding by the encoding module and a pixel value of a corresponding pixel point in the first sub-image.
11. An electronic device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the image processing method of any of claims 1-5.
12. A readable storage medium, characterized in that the readable storage medium has stored thereon a program or instructions which, when executed by a processor, implement the steps of the image processing method according to any of claims 1-5.
13. A chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being configured to execute programs or instructions for implementing the steps of the image processing method according to any of claims 1-5.
CN202211690874.5A 2022-12-27 2022-12-27 Image processing method, device, electronic equipment and readable storage medium Pending CN116320395A (en)

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