CN105744157A - Image pixel sampling value conversion method and device as well as sampling value processing method and device - Google Patents
Image pixel sampling value conversion method and device as well as sampling value processing method and device Download PDFInfo
- Publication number
- CN105744157A CN105744157A CN201610072459.1A CN201610072459A CN105744157A CN 105744157 A CN105744157 A CN 105744157A CN 201610072459 A CN201610072459 A CN 201610072459A CN 105744157 A CN105744157 A CN 105744157A
- Authority
- CN
- China
- Prior art keywords
- sampling value
- value
- bit depth
- metadata
- end points
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/741—Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
-
- 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
- H04N19/132—Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
-
- 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
- H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
- H04N19/98—Adaptive-dynamic-range coding [ADRC]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
- H04N21/234318—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by decomposing into objects, e.g. MPEG-4 objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
- H04N21/440218—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display by transcoding between formats or standards, e.g. from MPEG-2 to MPEG-4
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
Abstract
The invention provides an image pixel sampling value conversion method and device as well as a sampling value processing method and device, which are used for converting a high-bit depth pixel sampling value into a low-bit depth sampling value. The image pixel sampling value conversion method comprises the steps of dividing a value range of the high-bit depth pixel sampling value into one or more segments and determining metadata of segment endpoints, wherein the metadata comprise high-bit depth pixel sampling values of the segment endpoints and corresponding low-bit depth sampling values; determining segments which the high-bit depth pixel sampling values in an image belongs to according to the metadata; and calculating the low-bit depth sampling values corresponding to the high-bit depth pixel sampling values based on the metadata of the segment endpoints. Through a processing way of converting the high-bit depth pixel sampling values into the low-bit depth sampling values, image color distortion and detail loss in mutual conversion of a video between a HDR (High Dynamic Range) and a standard dynamic range are reduced.
Description
Technical field
The invention belongs to field of video processing, particularly to a kind of image pixel sampled value conversion, method for processing sampling value and device.
Background technology
Traditional low dynamic range echograms and video can only reflect limited brightness range, HDR (HighDynamicRange, HDR) image and video then can reflect bigger brightness range, significantly expand contrast and color, it is possible to display real scene more true to nature.
In the process to HDR image and video, HDR image and video need to change with standard dynamic range or low-dynamic range video, to adapt to the application under different condition difference occasion.
In the process realizing the present invention, inventor have found that in HDR changes mutually with standard dynamic range video, according to traditional linear conversion method, image is carried out dynamic range conversion, there is the problems such as color of image distortion and loss of detail.
Summary of the invention
In order to solve the deficiency that prior art exists, the present invention proposes a kind of image sampling value conversion method, for high bit depth pixel sampling value is converted to low bit depth-sampling value, including: the span of high bit depth pixel sampling value is divided into one or more segmentation, determine the metadata of segment end points, wherein, described metadata comprises the high bit depth pixel sampling value of described segment end points and corresponding low bit depth-sampling value；According to described metadata, it is determined that high bit depth pixel sampling value place segmentation in image；Metadata according to described segment end points, calculates the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding；Wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.
More preferably, the span of high bit depth pixel sampling value is divided into multiple segmentation, it is determined that the metadata of segment end points, including: image is analyzed, it is determined that the statistic histogram information of described image；According to described statistic histogram information, it is determined that the parameter of adaptive quantizing function；According to adaptive quantizing function, calculate the low bit depth-sampling value that the high bit depth pixel sampling value of described segment end points is corresponding.
More preferably, according to described statistic histogram information, calculate the normalization accumulation histogram distribution function value that described high bit depth pixel sampling value is corresponding, it can be used as the parameter of described adaptive quantizing function.
More preferably, the parameter of described adaptive quantizing function also includes adjustable numerical parameter.
More preferably, the described metadata according to described segment end points, calculate the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding, including: described low bit depth-sampling value is set to the interpolation of the metadata of described segment end points.
Alternatively, described low bit depth-sampling value is set to the interpolation of the metadata of described segment end points, including: the metadata according to described segment end points, calculate the slope value of described segmentation；Calculate the changing value of high bit depth sampled value in the relatively described segment end points metadata of described high bit depth sampled value；Rate of change value is set to the product of described changing value and described slope value；That low bit depth-sampling value corresponding for described high bit depth sampled value is set in described rate of change value and described segment end points metadata low bit depth-sampling value and value or difference.
Alternatively, after determining described data element, also include: described metadata is encoded, described coded-bit is write the data cell in following code stream at least one: parameter set, slice header information, assist information unit, User Defined data cell, describes sub-information unit.
With described image sampling value conversion method accordingly, present invention also offers a kind of image sampling value processing method, for low bit degree of depth pixel sampling value is converted to high bit depth sampled value, including: according to metadata, determine segment end points, the span of low bit degree of depth pixel sampling value is divided into one or more segmentation, and wherein, described metadata comprises the low bit degree of depth pixel sampling value of described segment end points and corresponding high bit depth sampled value；According to described metadata, it is determined that low bit degree of depth pixel sampling value place segmentation in image；Metadata according to described segment end points, calculates the high bit depth sampled value that described low bit degree of depth pixel sampling value is corresponding；Wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.
Alternatively, described determine segment end points according to metadata before, also include: resolve code stream, described metadata is obtained from least one of the data below unit of described code stream, including: parameter set, slice header information, auxiliary information unit, User Defined data cell, sub-information unit is described.
More preferably, the described metadata according to described segment end points, calculate the high bit depth sampled value that described low bit degree of depth pixel sampling value is corresponding, including: described high bit depth sampled value is set to the interpolation of the metadata of described segment end points.
Alternatively, described high bit depth sampled value is set to the interpolation of the metadata of described segment end points, including: the metadata according to described segment end points, calculate the slope value of described segmentation；Calculate the changing value of low bit depth-sampling value in the described relatively described segment end points metadata of low bit depth-sampling value；Rate of change value is set to the product of described changing value and described slope value；That high bit depth sampled value corresponding for described low bit depth-sampling value is set in described rate of change value and described segment end points metadata high bit depth sampled value and value or difference.
Present invention also offers a kind of image pixel sampled value conversion equipment, for high bit depth pixel sampling value is converted to low bit depth-sampling value, including: first determines unit, the span of high bit depth pixel sampling value is divided into one or more segmentation, determine the metadata of segment end points, wherein, described metadata comprises the high bit depth pixel sampling value of described segment end points and corresponding low bit depth-sampling value；Second determines unit, according to described metadata, it is determined that high bit depth pixel sampling value place segmentation in image；First computing unit, the metadata according to described segment end points, calculate the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding；Wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.
Alternatively, described conversion equipment also includes: writing unit, and described metadata is encoded, described coded-bit is write the data cell in following code stream at least one: parameter set, slice header information, assist information unit, User Defined data cell, describes sub-information unit.
Present invention also offers a kind of image pixel sampled value and process device, for low bit degree of depth pixel sampling value is converted to high bit depth sampled value, including: the 3rd determines unit, according to metadata, determine segment end points, the span of low bit degree of depth pixel sampling value is divided into one or more segmentation, and wherein, described metadata comprises the low bit degree of depth pixel sampling value of described segment end points and corresponding high bit depth sampled value；4th determines unit, according to described metadata, it is determined that low bit degree of depth pixel sampling value place segmentation in image；Second computing unit, the metadata according to described segment end points, calculate the high bit depth sampled value that described low bit degree of depth pixel sampling value is corresponding；Wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.
Alternatively, the described 3rd determines in unit and also includes: resolution unit, resolves code stream, described metadata is obtained from least one of the data below unit of described code stream, including: parameter set, slice header information, auxiliary information unit, User Defined data cell, sub-information unit is described.
Technical scheme provided by the invention has the benefit that
By high bit depth pixel sampling value being converted to the processing mode of low bit depth-sampling value, reduce the color of image distortion during HDR changes mutually and loss of detail with standard dynamic range video.
Accompanying drawing explanation
In order to be illustrated more clearly that technical scheme, below the accompanying drawing used required during embodiment is described is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of image pixel sampled value conversion method provided by the invention；
Fig. 2 is the schematic flow sheet of a kind of image sampling value processing method provided by the invention；
Fig. 3 is the structural representation of a kind of image pixel sampled value conversion equipment provided by the invention；
Fig. 4 is the structural representation that a kind of image pixel sampled value provided by the invention processes device.
Detailed description of the invention
For making the structure of the present invention and advantage clearly, below in conjunction with accompanying drawing, the structure of the present invention is further described.
Embodiment one
The invention provides a kind of image pixel sampled value conversion method, for high bit depth pixel sampling value is converted to low bit depth-sampling value, as it is shown in figure 1, wherein said bit-depth indicates that the binary character figure place that described pixel sampling value uses, key step includes:
Step 11, the span of high bit depth pixel sampling value is divided into multiple segmentation, it is determined that the metadata of segment end points, wherein, described metadata comprises the high bit depth pixel sampling value of described segment end points and corresponding low bit depth-sampling value.
A kind of method determining segment end points metadata is: image is analyzed, it is determined that the statistic histogram information of described image；According to described statistic histogram information, it is determined that the parameter of adaptive quantizing function；According to adaptive quantizing function, calculate the low bit depth-sampling value that the high bit depth pixel sampling value of described segment end points is corresponding.Wherein, according to described statistic histogram information, calculate the normalization accumulation histogram distribution function value that described high bit depth pixel sampling value is corresponding, it can be used as the parameter of described adaptive quantizing function.
Step 12, according to described metadata, it is determined that high bit depth pixel sampling value place segmentation in image.
Step 13, metadata according to described segment end points, calculate the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding.
A kind of method is the interpolation of the metadata calculating described segment end points according to described high bit depth pixel sampling value, and described low bit depth-sampling value is set to described interpolation.A kind of method calculating difference is: the metadata according to described segment end points, calculates the slope value of described segmentation；Calculate the changing value of high bit depth sampled value in the relatively described segment end points metadata of described high bit depth sampled value；Rate of change value is set to the product of described changing value and described slope value；That low bit depth-sampling value corresponding for described high bit depth sampled value is set in described rate of change value and described segment end points metadata low bit depth-sampling value and value or difference.
According to practical application, such as Video coding application, when metadata information is transferred to receiving terminal by needs, metadata is encoded, coded-bit is write in code stream data below unit at least one: parameter set, slice header information, assist information unit, User Defined data cell, describes sub-information unit.
The present embodiment uses the method for the present invention to realize 16bitHDR video image and is converted to 10bit standard dynamic range video image.
In force, tri-passages of Y`, Cb, Cr of 16bitHDR video image are independently processed, be 10bit video image according to the method migration of the present invention respectively.Each passage all processes by following concrete grammar:
1) span (namely 0～65535) of the HDR video image pixel sampling value of 16bit being carried out segmentation, be uniformly divided into 64 sections here, every section of width is 1024, records 65 segment end points, namely 0,1024,2048 ..., 65535.
2) statistical picture histogram information.
Statistics current channel image pixel sampled value distributed intelligence, it is thus achieved that normalization accumulation histogram distribution function CDF (x).Circular is as follows:
Wherein, x is the 16bit pixel sampling value of present image, and PDF (l) is rectangular histogram probability-distribution function, NlRepresenting that in present image, pixel sampling value is the pixel number of l, N is the sum of pixel in present image.
3) using 2) in obtained CDF (x) as parameter, and numerical parameter a and b is set, it is determined that self adaptation transfer function, concrete functional form is:
Wherein, Rmax1Represent the maximum of high bit depth dynamic range, the present embodiment is 65535, Rmax2The maximum of expression low bit degree of depth dynamic range is 1023, x in the present embodiment is current 16bit image pixel sampled value, and y is 10bit image pixel sampled value corresponding for x.
4) according to 3) the self adaptation transfer function that obtains, calculate the 10bit image pixel sampled value that the 16bit pixel sampling value of each segment end points is corresponding.And 65 end points and each self-corresponding 10bit image pixel sampled value are saved as metadata, can be used for from 10bit image reconstruction 16bit image.
5) according to 4) metadata that obtains, it is determined that the segment end points of 16bit image pixel sampled value place segmentation.
6) metadata according to described segment end points, adopts interpolation method to calculate the 10bit pixel sampling value that 16bit pixel sampling value is corresponding, it is achieved 16bit image is converted to 10bit image.A kind of method calculating interpolation is:
Wherein, x1、x2For the 16bit pixel sampling value in described segment end points metadata, y1、y2For x in metadata1、x2Each corresponding 10bit pixel sampling value, x is in x1And x2Between 16bit pixel sampling value, the 10bit pixel sampling value corresponding for x that y is required.It is the slope value of place segmentation,It is rate of change value.
In the present embodiment, it is also possible to described metadata is encoded, described coded-bit is write the data cell in following code stream at least one: parameter set, slice header information, assist information unit, User Defined data cell, describe sub-information unit.
Embodiment two
With described image sampling value conversion method accordingly, present invention also offers a kind of image sampling value processing method, for low bit degree of depth pixel sampling value is converted to high bit depth sampled value, as shown in Figure 2, wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses, and key step includes:
Step 21, according to metadata, determine segment end points, the span of low bit degree of depth pixel sampling value is divided into multiple segmentation, and wherein, described metadata comprises the low bit degree of depth pixel sampling value of described segment end points and corresponding high bit depth sampled value.
Step 22, according to described metadata, it is determined that low bit degree of depth pixel sampling value place segmentation in image；
Step 23, metadata according to described segment end points, calculate the high bit depth sampled value that described low bit degree of depth pixel sampling value is corresponding；
A kind of method is the interpolation of the metadata calculating described segment end points according to described low bit degree of depth pixel sampling value, and described high bit depth sampled value is set to described interpolation.A kind of method calculating difference is: the metadata according to described segment end points, calculates the slope value of described segmentation；Calculate the changing value of low bit depth-sampling value in the described relatively described segment end points metadata of low bit depth-sampling value；Rate of change value is set to the product of described changing value and described slope value；That high bit depth sampled value corresponding for described low bit depth-sampling value is set in described rate of change value and described segment end points metadata high bit depth sampled value and value or difference.
According to practical application, such as video decoding application, when needs obtain metadata from code stream, resolve described code stream, obtain described metadata from least one of the data below unit of described code stream, including: parameter set, slice header information, auxiliary information unit, User Defined data cell, sub-information unit is described.
The present embodiment uses the inventive method to realize 10bit standard dynamic range video image conversion 16bitHDR video image
Three passages of 10bit video image are independently processed by process, is 16bit video image according to the method migration of the present invention respectively.Each passage all processes as follows:
1) according to metadata, it is determined that each segment end points.This example adopts 64 segmentations.
2) according to described metadata, it is determined that the segment end points of 10bit image pixel sampled value place segmentation.
3) metadata according to described segment end points, adopts interpolation method to calculate the 16bit pixel sampling value that 10bit pixel sampling value is corresponding, it is achieved 10bit image is converted to 16bit image.A kind of method calculating difference is:
Wherein, x1、x2For the 16bit pixel sampling value in described segment end points metadata, y1、y2For x in metadata1、x2Each corresponding 10bit pixel sampling value, x is in x1And x2Between 16bit pixel sampling value, the 10bit pixel sampling value corresponding for x that y is required.It is the slope value of place segmentation,It is rate of change value.
In the present embodiment, before determining segment end points, the method that can pass through to resolve code stream obtains metadata, including: resolve described code stream, obtain described metadata from least one of the data below unit of described code stream, including: parameter set, slice header information, auxiliary information unit, User Defined data cell, sub-information unit is described.
Embodiment three
Present invention also offers a kind of image pixel sampled value conversion equipment 3, for high bit depth pixel sampling value is converted to low bit depth-sampling value, as it is shown on figure 3, wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.Described device comprises with lower module:
First determines unit 31, input is high-bit image data, the span of the high bit depth image pixel sampling value of input is divided into multiple segmentation, determine the metadata of segment end points, wherein, described metadata comprises the high bit depth pixel sampling value of described segment end points and corresponding low bit depth-sampling value；The metadata of each segment end points is exported to the second input determining unit 32.
Second determines unit 32, and input connects the first outfan determining unit 31, the metadata according to input, it is determined that high bit depth pixel sampling value place segmentation in image, exports the metadata of described two end points of segmentation to the input of the first computing unit 33.
First computing unit 33, input connects the second outfan determining unit 32, the metadata according to the segment end points of input, calculates the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding, the low bit depth-sampling value output that will obtain.
Alternatively, described conversion equipment also includes:
Writing unit 34, is encoded described metadata, described coded-bit is write the data cell in following code stream at least one: parameter set, slice header information, assist information unit, User Defined data cell, describe sub-information unit.
Embodiment four
Present invention also offers a kind of image pixel sampled value and process device 4, for low bit degree of depth pixel sampling value is converted to high bit depth sampled value, as shown in Figure 4, wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses, and described device comprises with lower module:
3rd determines unit 41, metadata is obtained according to input data, according to metadata, determine segment end points, the span of low bit degree of depth pixel sampling value is divided into multiple segmentation, wherein, described metadata comprises the low bit degree of depth pixel sampling value of described segment end points and corresponding high bit depth sampled value；Segment end points metadata is exported to the 4th input determining unit 42.
4th determines unit 42, input connects the 3rd outfan determining unit 41, segment end points metadata according to input, it is determined that low bit degree of depth pixel sampling value place segmentation in image, exports the metadata of described two end points of segmentation to the input of the second computing unit 43.
Second computing unit 43, input connects the 4th outfan determining unit 42, the metadata according to two end points of segmentation of input, calculates the high bit depth sampled value that described low bit degree of depth pixel sampling value is corresponding, the high bit depth sampled value output that will obtain.
Alternatively, the described 3rd determines in unit 41 and also includes:
Resolution unit 44, resolves code stream, obtains described metadata from least one of the data below unit of described code stream, including: parameter set, slice header information, assist information unit, User Defined data cell, describe sub-information unit.
The invention provides a kind of image pixel sampled value conversion, method for processing sampling value and device, for high bit depth pixel sampling value is converted to low bit depth-sampling value, including: the span of high bit depth pixel sampling value is divided into one or more segmentation, determine the metadata of segment end points, wherein, described metadata comprises the high bit depth pixel sampling value of described segment end points and corresponding low bit depth-sampling value；According to described metadata, it is determined that high bit depth pixel sampling value place segmentation in image；Metadata according to described segment end points, calculates the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding.By high bit depth pixel sampling value being converted to the processing mode of low bit depth-sampling value, reduce the color of image distortion during HDR changes mutually and loss of detail with standard dynamic range video.
One of ordinary skill in the art will appreciate that all or part of step in said method can be carried out instruction related hardware by program and complete, described program can be stored in computer-readable recording medium, such as read only memory, disk or CD etc..Alternatively, all or part of step of above-described embodiment can also use one or more integrated circuit to realize.Correspondingly, each module/unit in above-described embodiment can adopt the form of hardware to realize, it would however also be possible to employ the form of software function module realizes.The application is not restricted to the combination of the hardware and software of any particular form.
The above, be only the preferred embodiments of the present invention, be not intended to limit protection scope of the present invention.All within the spirit and principles in the present invention, any amendment of making, equivalent replacement, improvement etc., should be included within protection scope of the present invention.
Claims (15)
1. an image pixel sampled value conversion method, for high bit depth pixel sampling value is converted to low bit depth-sampling value, it is characterised in that including:
The span of high bit depth pixel sampling value being divided into one or more segmentation, it is determined that the metadata of segment end points, wherein, described metadata comprises the high bit depth pixel sampling value of described segment end points and corresponding low bit depth-sampling value；
According to described metadata, it is determined that high bit depth pixel sampling value place segmentation in image；
Metadata according to described segment end points, calculates the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding；
Wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.
2. method according to claim 1, it is characterised in that the span of high bit depth pixel sampling value is divided into multiple segmentation, it is determined that the metadata of segment end points, including:
Image is analyzed, it is determined that the statistic histogram information of described image；
According to described statistic histogram information, it is determined that the parameter of adaptive quantizing function；
According to adaptive quantizing function, calculate the low bit depth-sampling value that the high bit depth pixel sampling value of described segment end points is corresponding.
3. method according to claim 2, it is characterised in that also include:
According to described statistic histogram information, calculate the normalization accumulation histogram distribution function value that described high bit depth pixel sampling value is corresponding, it can be used as the parameter of described adaptive quantizing function.
4. method according to claim 3, it is characterised in that also include:
The parameter of described adaptive quantizing function also includes adjustable numerical parameter.
5. method according to claim 1, it is characterised in that the described metadata according to described segment end points, calculates the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding, including:
Described low bit depth-sampling value is set to the interpolation of the metadata of described segment end points.
6. method according to claim 5, it is characterised in that including:
Metadata according to described segment end points, calculates the slope value of described segmentation；
Calculate the changing value of high bit depth sampled value in the relatively described segment end points metadata of described high bit depth sampled value；
Rate of change value is set to the product of described changing value and described slope value；
That low bit depth-sampling value corresponding for described high bit depth sampled value is set in described rate of change value and described segment end points metadata low bit depth-sampling value and value or difference.
7. method according to claim 1, it is characterised in that also include:
Described metadata is encoded, described coded-bit is write the data cell in following code stream at least one: parameter set, slice header information, assist information unit, User Defined data cell, describe sub-information unit.
8. an image sampling value processing method, for low bit degree of depth pixel sampling value is converted to high bit depth sampled value, it is characterised in that including:
According to metadata, it is determined that segment end points, the span of low bit degree of depth pixel sampling value being divided into one or more segmentation, wherein, described metadata comprises the low bit degree of depth pixel sampling value of described segment end points and corresponding high bit depth sampled value；
According to described metadata, it is determined that low bit degree of depth pixel sampling value place segmentation in image；
Metadata according to described segment end points, calculates the high bit depth sampled value that described low bit degree of depth pixel sampling value is corresponding；
Wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.
9. method according to claim 8, it is characterised in that described determine segment end points according to metadata before, also include:
Resolve code stream, obtain described metadata from least one of the data below unit of described code stream, including: parameter set, slice header information, assist information unit, User Defined data cell, describe sub-information unit.
10. method according to claim 8, it is characterised in that the described metadata according to described segment end points, calculates the high bit depth sampled value that described low bit degree of depth pixel sampling value is corresponding, including:
Described high bit depth sampled value is set to the interpolation of the metadata of described segment end points.
11. method according to claim 10, it is characterised in that including:
Metadata according to described segment end points, calculates the slope value of described segmentation；
Calculate the changing value of low bit depth-sampling value in the described relatively described segment end points metadata of low bit depth-sampling value；
Rate of change value is set to the product of described changing value and described slope value；
That high bit depth sampled value corresponding for described low bit depth-sampling value is set in described rate of change value and described segment end points metadata high bit depth sampled value and value or difference.
12. an image pixel sampled value conversion equipment, for high bit depth pixel sampling value is converted to low bit depth-sampling value, it is characterised in that including:
First determines unit, the span of high bit depth pixel sampling value is divided into one or more segmentation, determining the metadata of segment end points, wherein, described metadata comprises the high bit depth pixel sampling value of described segment end points and corresponding low bit depth-sampling value；
Second determines unit, according to described metadata, it is determined that high bit depth pixel sampling value place segmentation in image；
First computing unit, the metadata according to described segment end points, calculate the low bit depth-sampling value that described high bit depth pixel sampling value is corresponding；
Wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.
13. device according to claim 12, it is characterised in that also include:
Writing unit, is encoded described metadata, described coded-bit is write the data cell in following code stream at least one: parameter set, slice header information, assist information unit, User Defined data cell, describe sub-information unit.
14. image pixel sampled value processes a device, for low bit degree of depth pixel sampling value is converted to high bit depth sampled value, it is characterised in that including:
3rd determines unit, according to metadata, it is determined that segment end points, the span of low bit degree of depth pixel sampling value is divided into one or more segmentation, wherein, described metadata comprises the low bit degree of depth pixel sampling value of described segment end points and corresponding high bit depth sampled value；
4th determines unit, according to described metadata, it is determined that low bit degree of depth pixel sampling value place segmentation in image；
Second computing unit, the metadata according to described segment end points, calculate the high bit depth sampled value that described low bit degree of depth pixel sampling value is corresponding；
Wherein, described bit-depth indicates that the binary character figure place that described pixel sampling value uses.
15. method according to claim 14, it is characterised in that the described 3rd determines unit, also includes:
Resolution unit, resolves code stream, obtains described metadata from least one of the data below unit of described code stream, including: parameter set, slice header information, assist information unit, User Defined data cell, describe sub-information unit.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610072459.1A CN105744157A (en) | 2016-02-02 | 2016-02-02 | Image pixel sampling value conversion method and device as well as sampling value processing method and device |
| CN201610873448.3A CN107027054B (en) | 2016-02-02 | 2016-10-01 | Image pixel sampling value processing method and device and image conversion method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610072459.1A CN105744157A (en) | 2016-02-02 | 2016-02-02 | Image pixel sampling value conversion method and device as well as sampling value processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105744157A true CN105744157A (en) | 2016-07-06 |
Family
ID=56244758
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610072459.1A Pending CN105744157A (en) | 2016-02-02 | 2016-02-02 | Image pixel sampling value conversion method and device as well as sampling value processing method and device |
| CN201610873448.3A Active CN107027054B (en) | 2016-02-02 | 2016-10-01 | Image pixel sampling value processing method and device and image conversion method and device |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610873448.3A Active CN107027054B (en) | 2016-02-02 | 2016-10-01 | Image pixel sampling value processing method and device and image conversion method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN105744157A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110226327A (en) * | 2017-01-20 | 2019-09-10 | 世宗大学校产学协力团 | Video encoding method/device, image decoding method/device and the recording medium for preserving bit stream |
| CN111292282A (en) * | 2020-01-21 | 2020-06-16 | 展讯通信（上海）有限公司 | Method and device for generating low-bit-width HDR image, storage medium and terminal |
| CN111724316A (en) * | 2017-04-11 | 2020-09-29 | 华为技术有限公司 | Method and apparatus for processing high dynamic range images |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6850642B1 (en) * | 2000-01-31 | 2005-02-01 | Micron Technology, Inc. | Dynamic histogram equalization for high dynamic range images |
| US20090317017A1 (en) * | 2008-06-20 | 2009-12-24 | The Hong Kong University Of Science And Technology | Image characteristic oriented tone mapping for high dynamic range images |
| WO2011002505A1 (en) * | 2009-06-29 | 2011-01-06 | Thomson Licensing | Zone-based tone mapping |
| WO2013068132A1 (en) * | 2011-11-09 | 2013-05-16 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Inter-layer prediction between layers of different dynamic sample value range |
| US9129445B2 (en) * | 2012-03-14 | 2015-09-08 | Dolby Laboratories Licensing Corporation | Efficient tone-mapping of high-bit-depth video to low-bit-depth display |
| ES2737993T3 (en) * | 2012-03-26 | 2020-01-17 | Koninklijke Philips Nv | Gloss region-based devices and methods for encoding and decoding HDR images |
| CN103295194B (en) * | 2013-05-15 | 2015-11-04 | 中山大学 | The controlled tone mapping method with Hemifusus ternatanus of brightness |
| US9432647B2 (en) * | 2013-09-09 | 2016-08-30 | Apple Inc. | Adaptive auto exposure and dynamic range compensation |
| US8958658B1 (en) * | 2013-09-10 | 2015-02-17 | Apple Inc. | Image tone adjustment using local tone curve computation |
| EP2961168A1 (en) * | 2014-06-27 | 2015-12-30 | Thomson Licensing | Method and apparatus for predicting image samples for encoding or decoding |
-
2016
- 2016-02-02 CN CN201610072459.1A patent/CN105744157A/en active Pending
- 2016-10-01 CN CN201610873448.3A patent/CN107027054B/en active Active
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110226327A (en) * | 2017-01-20 | 2019-09-10 | 世宗大学校产学协力团 | Video encoding method/device, image decoding method/device and the recording medium for preserving bit stream |
| US11412218B2 (en) | 2017-01-20 | 2022-08-09 | Industry Academy Cooperation Foundation Of Sejong University | Image encoding method/device, image decoding method/device and recording medium having bitstream stored thereon |
| CN110226327B (en) * | 2017-01-20 | 2022-08-09 | 世宗大学校产学协力团 | Video encoding method/device, video decoding method/device, and recording medium storing bitstream |
| US11778179B2 (en) | 2017-01-20 | 2023-10-03 | Industry Academy Cooperation Foundation Of Sejong University | Image encoding method/device, image decoding method/device and recording medium having bitstream stored thereon |
| CN111724316A (en) * | 2017-04-11 | 2020-09-29 | 华为技术有限公司 | Method and apparatus for processing high dynamic range images |
| CN111724316B (en) * | 2017-04-11 | 2023-11-10 | 华为技术有限公司 | Method and apparatus for processing high dynamic range image |
| CN111292282A (en) * | 2020-01-21 | 2020-06-16 | 展讯通信（上海）有限公司 | Method and device for generating low-bit-width HDR image, storage medium and terminal |
| CN111292282B (en) * | 2020-01-21 | 2023-02-17 | 展讯通信（上海）有限公司 | Method and device for generating low-bit-width HDR image, storage medium and terminal |
| EP4095793A4 (en) * | 2020-01-21 | 2023-10-25 | Spreadtrum Communications (Shanghai) Co., Ltd. | Method and apparatus for generating low bit width hdr image, storage medium, and terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107027054B (en) | 2021-05-11 |
| CN107027054A (en) | 2017-08-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI428837B (en) | Adaptive coding decoding of wide-range coefficients | |
| CN110648675B (en) | Method and apparatus for generating a hybrid spatial/coefficient domain representation of an HOA signal | |
| CN103843032A (en) | Image processing for HDR images | |
| CN108141592B (en) | Method and apparatus for encoding and decoding a digital image or video stream | |
| CN109600618A (en) | Video-frequency compression method, decompression method, device, terminal and medium | |
| CN103379321A (en) | Prediction method and prediction device for video image component | |
| CN105744157A (en) | Image pixel sampling value conversion method and device as well as sampling value processing method and device | |
| KR20070053098A (en) | Decoding apparatus, inverse quantization method, and computer readable medium | |
| CN102868847A (en) | Image type based processing method and device | |
| CN110288529B (en) | Single image super-resolution reconstruction method based on recursive local synthesis network | |
| CN102883165A (en) | Picture zooming processing method and device | |
| Miyata et al. | Novel inverse colorization for image compression | |
| CN105488822A (en) | Reversible image hiding algorithm based on AMBTC algorithm | |
| CN110378466A (en) | Quantization method and system based on neural network difference | |
| CN115331690B (en) | Method for eliminating noise of call voice in real time | |
| US11915458B1 (en) | System and process for reducing time of transmission for single-band, multiple-band or hyperspectral imagery using machine learning based compression | |
| Xu et al. | Hybrid post-training quantization for super-resolution neural network compression | |
| CN102737366A (en) | Enhancing video sequence sharpness by adaptive peaking | |
| CN103310426A (en) | Image enhancement method and device based on joint photographic experts group (JPEG) frequency-domain transformation | |
| CN104113394B (en) | The compression of communication modulation signal and decompressing method | |
| CN114882133B (en) | Image coding and decoding method, system, device and medium | |
| WO2021042300A1 (en) | Encoding method, decoding method, and encoding apparatus and decoding apparatus | |
| Ibrahimpatnam | A high performance novel image compression technique using hybrid transform for multimedia applications | |
| JP3968276B2 (en) | Time series data compression / decompression apparatus and method | |
| CN113762498B (en) | Method for quantizing RoiAlign operator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160706 |