CN105208392A - Method and device for compressing image - Google Patents
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Abstract
The embodiment of the invention discloses a method and device for compressing an image, and belongs to the technical field of computers. The method comprises the steps that a first data block generated after target image quantization processing is acquired and divided into data sub-blocks of a preset dimension; whether the sum value of the absolute values of quantized values of pixel points included in the data sub-blocks is a first preset value or not is judged in sequence according to a preset sub-block traversal sequence till it is determined that the sum value corresponding to the first data sub-block is the first preset value, and the data sub-block before the first data sub-block is determined according to the sub-block traversal sequence; the quantized values of the pixel points included in the data sub-blocks before the first data sub-block are compressed. According to the method and device, the efficiency of compressing the image can be improved.
Description
Technical field
The present invention relates to field of computer technology, particularly a kind of method and apparatus that image is compressed.
Background technology
Along with the development of computer technology, computer application is more and more extensively sent out, and function also from strength to strength.People can be compressed video by computer, to carry out video data transmission.
When compressing video, pixel in each frame can be divided, obtain multiple original pixels block, then can according to the original pixels block divided and the prediction algorithm (as infra-frame prediction and inter prediction) of presetting, obtain the predict pixel block that each original pixels block is corresponding, again original pixels block is subtracted each other with corresponding predict pixel block, obtain the residual block that this original pixels block is corresponding, then DCT (DiscreteCosineTransform can be carried out to each residual block, discrete cosine transform) and quantification treatment, determine the quantized value that each pixel is corresponding, obtain the data block after quantification treatment.Data block after quantification treatment can be divided into the data sub-block of pre-set dimension by computer, as the data sub-block of 4*4, for a data sub-block, the method of the traversal that computer can adopt, whether the quantized value judging the pixel that this data sub-block comprises is 0, the total data sub-block that computer can comprise certain data block travels through, thus determine the pixel of last quantized value non-zero, then the data sub-block position within the data block belonging to this pixel can be determined, and this pixel position within the data block, and then obtain the quantized value of the pixel before this pixel, then the quantized value got is compressed.For the pixel after this pixel, the quantized value due to these pixels is zero entirely, and therefore computer need not process these pixels.Computer can record the size of this data sub-block, and when decompressing to this data sub-block, terminal can by the quantized value that obtain pixel before this pixel that decompresses, then using 0 as the quantized value of rest of pixels point.
Realizing in process of the present invention, inventor finds that prior art at least exists following problem:
Computer needs all data sub-block to data block comprises to travel through, and could determine the pixel of last quantized value non-zero, then compress image, and the efficiency can compressed image is like this lower.
Summary of the invention
In order to solve the problem of prior art, embodiments provide a kind of method and apparatus that image is compressed.Described technical scheme is as follows:
First aspect, provide a kind of method compressed image, described method comprises:
Obtain the first data block after target image quantification treatment, and described first data block is divided into the data sub-block of pre-set dimension;
According to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding with value for described first default value time, according to described sub-block traversal order, determine the data sub-block before described first data sub-block;
Compression process is carried out to the quantized value of the pixel that the data sub-block before described first data sub-block comprises.
Optionally, the described quantized value to the pixel that the data sub-block before described first data sub-block comprises carries out compression process, comprising:
In total data sub-block before described first data sub-block, determine second data sub-block adjacent with described first data sub-block;
According to the pixel traversal order preset, in described second data sub-block, determine the first pixel that last quantized value and the second default value are not identical;
According to described pixel traversal order, determine the quantized value of the pixel before the first pixel described in described second data sub-block;
To the quantized value of the pixel that the data sub-block before described second data sub-block comprises, and the quantized value of pixel before the first pixel described in described second data sub-block carries out compression process.
Like this, the quantized value needing to carry out compressing process can be obtained more accurately.
Optionally, the described sub-block traversal order according to presetting, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, comprising:
The pixel number comprised according to the data block prestored and the corresponding relation of sub-block traversal order, determine the first sub-block traversal order that pixel number that described first data block comprises is corresponding;
According to described first sub-block traversal order, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value.
Like this, sub-block traversal order accurately can be obtained, prevent from makeing mistakes.
Optionally, described method also comprises:
According in compression process, to the former processing sequence of the pixel that each data sub-block comprises, and the target processing sequence to the pixel that described each data sub-block comprises, the pixel that the data sub-block before described first data sub-block comprises is resequenced.
Like this, the efficiency carrying out compressing process to image can be improved.
Optionally, the first data block after described acquisition target image quantification treatment, comprising:
Obtain the first block of pixels in the target image;
By the prediction algorithm prestored, determine the first prediction block that described first block of pixels is corresponding;
Determine that the pixel value and described first of each pixel in described first block of pixels predicts the difference of the pixel value of each pixel in block, obtain the first residual block, discrete cosine transform and quantification treatment are carried out to described first residual block, obtains the first data block that described first residual block is corresponding.
Optionally, described first default value is 0.
Second aspect, provide a kind of device compressed image, described device comprises:
Acquisition module, for obtaining the first data block after target image quantification treatment, and is divided into the data sub-block of pre-set dimension by described first data block;
Judge module, for according to preset sub-block traversal order, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding with value for described first default value time, according to described sub-block traversal order, determine the data sub-block before described first data sub-block;
Compression module, the quantized value for the pixel comprised the data sub-block before described first data sub-block carries out compression process.
Optionally, described compression module, comprising:
First determines submodule, in the total data sub-block before described first data sub-block, determines second data sub-block adjacent with described first data sub-block;
Second determines submodule, for according to the pixel traversal order preset, determines the first pixel that last quantized value and the second default value are not identical in described second data sub-block;
3rd determines submodule, for according to described pixel traversal order, determines the quantized value of the pixel before the first pixel described in described second data sub-block;
Compression submodule, for the quantized value of pixel comprised the data sub-block before described second data sub-block, and the quantized value of pixel before the first pixel described in described second data sub-block carries out compression and processes.
Like this, the quantized value needing to carry out compressing process can be obtained more accurately.
Optionally, described judge module, comprising:
4th determines submodule, for the corresponding relation of the pixel number that comprises according to the data block that prestores and sub-block traversal order, determines the first sub-block traversal order that pixel number that described first data block comprises is corresponding;
Judge submodule, for according to described first sub-block traversal order, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value.
Like this, sub-block traversal order accurately can be obtained, prevent from makeing mistakes.
Optionally, described device also comprises:
Order module, for according in compression process, to the former processing sequence of the pixel that each data sub-block comprises, and the target processing sequence to the pixel that described each data sub-block comprises, the pixel that the data sub-block before described first data sub-block comprises is resequenced.
Like this, the efficiency carrying out compressing process to image can be improved.
Optionally, described acquisition module, comprising:
First obtains submodule, for obtaining the first block of pixels in the target image;
5th determines submodule, for the prediction algorithm by prestoring, determines the first prediction block that described first block of pixels is corresponding;
6th determines submodule, pixel value and described first for determining each pixel in described first block of pixels predict the difference of the pixel value of each pixel in block, obtain the first residual block, discrete cosine transform and quantification treatment are carried out to described first residual block, obtains the first data block that described first residual block is corresponding.
Optionally, described first default value is 0.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is:
In the embodiment of the present invention, obtain the first data block after target image quantification treatment, and the first data block is divided into the data sub-block of pre-set dimension, according to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding be the first default value with value time, according to sub-block traversal order, determine the data sub-block before the first data sub-block, compression process is carried out to the quantized value of the pixel that the data sub-block before the first data sub-block comprises, like this, in the process that target image is compressed, all data sub-block without the need to comprising data block travel through, just can determine quantized value to be compressed, thus the efficiency of compressed image can be improved.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment 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 prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of method flow diagram compressed image that the embodiment of the present invention provides;
Fig. 2 is the seed block traversal order schematic diagram that the embodiment of the present invention provides;
Fig. 3 is the seed block traversal order schematic diagram that the embodiment of the present invention provides;
Fig. 4 is a kind of pixel traversal order schematic diagram that the embodiment of the present invention provides;
Fig. 5 is a kind of pixel traversal order schematic diagram that the embodiment of the present invention provides;
Fig. 6 is a kind of pixel traversal order schematic diagram that the embodiment of the present invention provides;
Fig. 7 is a kind of schematic diagram to pixel rearrangement that the embodiment of the present invention provides;
Fig. 8 is a kind of schematic diagram to pixel rearrangement that the embodiment of the present invention provides;
Fig. 9 is a kind of apparatus structure schematic diagram compressed image that the embodiment of the present invention provides;
Figure 10 is a kind of apparatus structure schematic diagram compressed image that the embodiment of the present invention provides;
Figure 11 is a kind of apparatus structure schematic diagram compressed image that the embodiment of the present invention provides;
Figure 12 is a kind of apparatus structure schematic diagram compressed image that the embodiment of the present invention provides;
Figure 13 is a kind of apparatus structure schematic diagram compressed image that the embodiment of the present invention provides;
Figure 14 is the structural representation of a kind of terminal that the embodiment of the present invention provides.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Embodiment one
Embodiments provide a kind of method compressed image, as shown in Figure 1, the handling process of the method can comprise following step:
Step 101, obtains the first data block after target image quantification treatment, and the first data block is divided into the data sub-block of pre-set dimension.
Step 102, according to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding be the first default value with value time, according to sub-block traversal order, determine the data sub-block before the first data sub-block.
Step 103, carries out compression process to the quantized value of the pixel that the data sub-block before the first data sub-block comprises.
In the embodiment of the present invention, obtain the first data block after target image quantification treatment, and the first data block is divided into the data sub-block of pre-set dimension, according to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding be the first default value with value time, according to sub-block traversal order, determine the data sub-block before the first data sub-block, compression process is carried out to the quantized value of the pixel that the data sub-block before the first data sub-block comprises, like this, in the process that target image is compressed, all data sub-block without the need to comprising data block travel through, just can determine quantized value to be compressed, thus the efficiency of compressed image can be improved.
Embodiment two
Embodiments provide a kind of method compressed image, the executive agent of the method is terminal.Wherein, terminal can be the terminal of the application program be provided with for compressed image.This terminal can comprise processor and memory, that processor may be used for determining the absolute value of the quantized value of the pixel that each data sub-block divided comprises and value, and then can search with value the data sub-block needing to carry out compressing process based on what determine, memory may be used for storing sub-block traversal order, and pixel traversal order, the data of data and the generation needed in following processing procedure can also be stored.In addition, this terminal can also comprise the parts such as input unit, transducer, voicefrequency circuit and power supply.
Below in conjunction with embodiment, be described in detail the handling process shown in Fig. 1, content can be as follows:
Step 101, obtains the first data block after target image quantification treatment, and the first data block is divided into the data sub-block of pre-set dimension.
In force, user can install the application program with image compression function in terminal, and as the application program of HEVC (HighEfficiencyVideoCoding, efficient video coding) encoder, image to be compressed can be video.When user needs to compress certain image, user can open this application program in terminal, then the image needing to carry out compressing can be selected in this application program, click compression options, terminal then can receive the condensed instruction of corresponding target image, then can obtain data block (i.e. the first data block) in the target image.
Optionally, the process of terminal acquisition data block can be as follows: obtain the first block of pixels in the target image; By the prediction algorithm prestored, determine the first prediction block that the first block of pixels is corresponding; Determine that the pixel value and first of each pixel in the first block of pixels predicts the difference of the pixel value of each pixel in block, obtain the first residual block, DCT and quantification treatment are carried out to the first residual block, obtain the first data block that the first residual block is corresponding.
In force, terminal in the target image, can obtain the data of certain frame (can be called target frame), target frame can comprise multiple pixel, if target frame can be 1280*720, then the pixel that target frame comprises can be divided, obtain multiple original pixels block.Terminal can in multiple original pixels block, obtain a block of pixels (i.e. the first block of pixels), then can according to the first block of pixels and the prediction algorithm (as infra-frame prediction and inter prediction) preset, obtain the first prediction block that the first block of pixels is corresponding, again the pixel value and first of each pixel in the first prediction block is predicted that the pixel value of each pixel in block carries out corresponding subtracting each other, obtain the first residual block that the first block of pixels is corresponding, then DCT (DiscreteCosineTransform can be carried out to the first residual block, discrete cosine transform) and quantification treatment, obtain the first data block after quantizing.For each original pixels block divided, terminal can carry out above-mentioned process, obtains the data block that each original pixels block is corresponding.Wherein, the size of data block can comprise 4*4,8*8,16*16,32*32.
After terminal obtains the first data block after target image quantification treatment, the size of the first data block can be determined, if the size of the first data block is less than or equal to pre-set dimension, then can according to the pixel traversal order preset, the pixel that first data block comprises is traveled through, obtain the quantized value of each pixel, and then the pixel that in the first data block, last quantized value is not identical with default value (i.e. the second default value) can be determined, then can according to pixel traversal order, obtain the quantized value of the pixel before this pixel, terminal can carry out compression process to the quantized value got.If the size of the first data block is greater than pre-set dimension, then the first data block can be divided into the data sub-block of pre-set dimension.Such as, pre-set dimension can be 4*4, if the first data block is of a size of 4*4, then can not divide, and according to above-mentioned compression process, compresses the first data block; If the first data block is of a size of 8*8,16*16 or 32*32, then the first data block can be divided into the data sub-block of multiple 4*4.
Step 102, according to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding be the first default value with value time, according to sub-block traversal order, determine the data sub-block before the first data sub-block.
In force, the sub-block traversal order of data block can be prestored in terminal, terminal according to the sub-block traversal order preset, can obtain data sub-block in the first data block, then can determine the absolute value of the quantized value of the pixel that the data sub-block got comprises and value.
Concrete, after terminal gets data sub-block A, the quantized value of each pixel that data sub-block A comprises can be obtained, then can determine the absolute value of each quantized value, and then can calculate these quantized values and value.Terminal is when calculating these and value, can according to the sequence of positions of pixel, first obtain the quantized value of first pixel, obtain the quantized value of second pixel again, then (can be described as a) with value of these two pixels is calculated, and then obtain the quantized value of the 3rd pixel, calculate the quantized value of a and the 3rd pixel and be worth, by that analogy.Terminal also can when calculating and be worth, carry out SIMD (SingleInstructionMultipleData, single-instruction multiple-data stream (SIMD)) optimization, such terminal can obtain the quantized value of all pixels that data sub-block A comprises, then read group total is carried out to the quantized value got, thus the efficiency of calculating and value can be improved.
The absolute value of the quantized value of the pixel that terminal calculated data sub-block A comprises with value after, can by comparing with value and the first default value of determining, whether what judge acquisition is the first default value with value, if what obtain is the first predetermined threshold value with value, then according to sub-block traversal order, the data sub-block before this data sub-block (i.e. the first data sub-block) can be determined.If what obtain is unequal with value and the first predetermined threshold value, then can according to the sub-block traversal order preset, obtain next data sub-block, repeat above-mentioned process, until determine certain data sub-block (i.e. the first data sub-block) corresponding be the first default value with value time, according to sub-block traversal order, determine the data sub-block before the first data sub-block.Wherein, the first default value is can 0.
Optionally, the pixel number that can comprise according to data block chooses corresponding sub-block traversal order, corresponding processing procedure can be as follows: the pixel number comprised according to the data block prestored and the corresponding relation of sub-block traversal order, determines the first sub-block traversal order that pixel number that the first data block comprises is corresponding; According to the first sub-block traversal order, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value.
In force, can prestore multiple sub-block traversal order in terminal, after terminal divides the first data block, the pixel number that can comprise according to the first data block, chooses corresponding sub-block traversal order.Such as, for the data block of 8*8, corresponding sub-block traversal order can be 0,2,1,3, as shown in Figure 2; For the data block of 16*16, corresponding sub-block traversal order can be 0,2,5,9, Isosorbide-5-Nitrae, 8,12,3,7,11,14,6,10,13,15, as shown in Figure 3; For the data block of 32*32, corresponding sub-block traversal order can be 0,2,5,9,14,20,27,35, Isosorbide-5-Nitrae, 8,13,19,26,34,42,3,7,12,18,25,33,41,48,6,11,17,24,32,40,47,53,10,16,23,31,39,46,52,57,15,22,30,38,45,51,56,60,21,29,37,44,50,55,59,62,28,36,43,49,54,58,61,63, corresponding processing sequence and above-mentioned two kinds of data blocks similar, repeat no more.Wherein, the numerical value in above-mentioned traversal order is the mark of data sub-block.In addition, for the data block of 8*8, horizontal traversal order can also be adopted to travel through with vertical traversal order, wherein, horizontal sub-block traversal order can be: horizontal traversal order: 0,1,2,3; Vertical traversal order can be 0,2,1,3.
Terminal is according to above-mentioned corresponding relation, after determining the first sub-block traversal order that pixel number that the first data block comprises is corresponding, can according to the first sub-block traversal order determined, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value.
Step 103, carries out compression process to the quantized value of the pixel that the data sub-block before the first data sub-block comprises.
In force, if terminal according to preset sub-block traversal order, inquire about the first data sub-block corresponding be the first default value with value time, then according to sub-block traversal order, the data sub-block before the first data sub-block can be determined.Such as, first data block is 8*8, sub-block traversal order is 0,2,1,3, what terminal determined to be designated the data sub-block (i.e. the first data sub-block) of 1 is the first default value with value, then can obtain the data sub-block being designated 0 and 2, then compression process be carried out to the quantized value of the pixel that these two data sub-block comprise.
Optionally, terminal can also determine the quantized value needing to carry out the pixel compressing process more accurately, corresponding processing procedure can be as follows: in the total data sub-block before the first data sub-block, determines second data sub-block adjacent with the first data sub-block; According to the pixel traversal order preset, in the second data sub-block, determine the first pixel that last quantized value and the second default value are not identical; According to pixel traversal order, determine the quantized value of the pixel in the second data sub-block before the first pixel; To the quantized value of the pixel that the data sub-block before the second data sub-block comprises, and the quantized value of pixel in the second data sub-block before the first pixel carries out compression process.
In force, after terminal determines the total data sub-block before the first data sub-block, can in the total data sub-block before the first data sub-block, determine the data sub-block (i.e. second data sub-block) adjacent with the first data sub-block, then can according to the pixel traversal order preset
The pixel that second data sub-block comprises is traveled through, determine the quantized value of each pixel, then the quantized value of each pixel and the second default value can be contrasted, determine the first pixel that last quantized value and the second default value are not identical.Terminal can according to pixel traversal order, determine the quantized value of the pixel in the second data sub-block before the first pixel, to the quantized value of the pixel that the data sub-block before the second data sub-block comprises, and the quantized value of pixel in the second data sub-block before the first pixel carries out compression process.The size of data sub-block can be 4*4, and the pixel traversal order of data sub-block being carried out to pixel traversal can have following three kinds: standard traversal order: 0,4,1,8,5,2,12,9,6,3,13,10,7,14,11,15, as shown in Figure 4; Horizontal traversal order: 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15, as shown in Figure 5; Vertical traversal order: 0,4,8,12,1,5,9,13,2,6,10,14,3,7,11,15, as shown in Figure 6.Wherein, the numerical value in pixel traversal order is the mark of pixel in data sub-block.
Optionally, can to first sorting to pixel, carry out compression process again, corresponding processing procedure can be as follows: according in compression process, to the former processing sequence of the pixel that each data sub-block comprises, and the target processing sequence to the pixel that each data sub-block comprises, the pixel that the data sub-block before the first data sub-block comprises is resequenced.
In force, for the data block of 16*16 and 32*32, only support above-mentioned standard traversal order, in process pixel traveled through according to standard traversal order, need to carry out repeatedly redirect process, repeatedly the used time of redirect process is longer, the efficiency that image is compressed can be reduced, therefore, can by the mode rearranged pixel, when processing according to above-mentioned horizontal traversal order or vertical traversal order to make terminal, the order of quantized value corresponding to standard traversal order can be obtained.
For each data sub-block divided, terminal can obtain the former processing sequence to the pixel that each data sub-block comprises, and then determine the processing sequence of corresponding quantized value, then can according to the target processing sequence of the pixel comprised each data sub-block, the pixel that data sub-block before first data sub-block comprises is resequenced, when processing according to target processing sequence to make terminal, the processing sequence that original place makes the quantized value that ordered pair is answered in order can be arrived.Such as, the first data block is of a size of 4*4, and former processing sequence is 0,4,1,8,5,2,12,9,6,3,13,10,7,14,11,15, as shown in Figure 7, target processing sequence is 0,1 to the quantized value of its each pixel comprised, 2,3,4,5,6,7,8,9,10,11,12,13,14,15, then after rearrangement, the quantized value of each pixel that the first data block comprises as shown in Figure 8, the numeral pixel mark in former processing sequence and target processing sequence.
In the embodiment of the present invention, obtain the first data block after target image quantification treatment, and the first data block is divided into the data sub-block of pre-set dimension, according to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding be the first default value with value time, according to sub-block traversal order, determine the data sub-block before the first data sub-block, compression process is carried out to the quantized value of the pixel that the data sub-block before the first data sub-block comprises, like this, in the process that target image is compressed, all data sub-block without the need to comprising data block travel through, just can determine quantized value to be compressed, thus the efficiency of compressed image can be improved.
Embodiment three
Based on identical technical conceive, the embodiment of the present invention additionally provides a kind of device compressed image, and as shown in Figure 9, this device comprises:
Acquisition module 910, for obtaining the first data block after target image quantification treatment, and is divided into the data sub-block of pre-set dimension by described first data block;
Judge module 920, for according to preset sub-block traversal order, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding with value for described first default value time, according to described sub-block traversal order, determine the data sub-block before described first data sub-block;
Compression module 930, the quantized value for the pixel comprised the data sub-block before described first data sub-block carries out compression process.
Optionally, as shown in Figure 10, described compression module 930, comprising:
First determines submodule 931, in the total data sub-block before described first data sub-block, determines second data sub-block adjacent with described first data sub-block;
Second determines submodule 932, for according to the pixel traversal order preset, determines the first pixel that last quantized value and the second default value are not identical in described second data sub-block;
3rd determines submodule 933, for according to described pixel traversal order, determines the quantized value of the pixel before the first pixel described in described second data sub-block;
Compression submodule 934, for the quantized value of pixel comprised the data sub-block before described second data sub-block, and the quantized value of pixel before the first pixel described in described second data sub-block carries out compression and processes.
Optionally, as shown in figure 11, described judge module 920, comprising:
4th determines submodule 921, for the corresponding relation of the pixel number that comprises according to the data block that prestores and sub-block traversal order, determines the first sub-block traversal order that pixel number that described first data block comprises is corresponding;
Judge submodule 922, for according to described first sub-block traversal order, judge successively described each data sub-block corresponding whether be the first default value with value.
Optionally, as shown in figure 12, described device also comprises:
Order module 940, for according in compression process, to the former processing sequence of the pixel that each data sub-block comprises, and the target processing sequence to the pixel that described each data sub-block comprises, the pixel that the data sub-block before described first data sub-block comprises is resequenced.
Optionally, as shown in figure 13, described acquisition module 910, comprising:
First obtains submodule 911, for obtaining the first block of pixels in the target image;
5th determines submodule 912, for the prediction algorithm by prestoring, determines the first prediction block that described first block of pixels is corresponding;
6th determines submodule 913, pixel value and described first for determining each pixel in described first block of pixels predict the difference of the pixel value of each pixel in block, obtain the first residual block, discrete cosine transform and quantification treatment are carried out to described first residual block, obtains the first data block that described first residual block is corresponding.
Optionally, described first default value is 0.
In the embodiment of the present invention, obtain the first data block after target image quantification treatment, and the first data block is divided into the data sub-block of pre-set dimension, according to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding be the first default value with value time, according to sub-block traversal order, determine the data sub-block before the first data sub-block, compression process is carried out to the quantized value of the pixel that the data sub-block before the first data sub-block comprises, like this, in the process that target image is compressed, all data sub-block without the need to comprising data block travel through, just can determine quantized value to be compressed, thus the efficiency of compressed image can be improved.
It should be noted that: the device compressed image that above-described embodiment provides is when compressing image, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, internal structure by equipment is divided into different functional modules, to complete all or part of function described above.In addition, the device that image is compressed that above-described embodiment provides with same design is belonged to the embodiment of the method that image compresses, its specific implementation process refers to embodiment of the method, repeats no more here.
Embodiment four
Figure 14 is the structural representation of a kind of terminal according to an exemplary embodiment.This terminal may be used for the method implementing the transmission data provided in above-described embodiment.
Terminal 400 can comprise RF (RadioFrequency, radio frequency) circuit 110, the memory 120 including one or more computer-readable recording mediums, input unit 130, display unit 140, transducer 150, voicefrequency circuit 160, WiFi (wirelessfidelity, Wireless Fidelity) module 170, include the parts such as processor 180 and power supply 190 that more than or processes core.It will be understood by those skilled in the art that the restriction of the not structure paired terminal of the terminal structure shown in Figure 14, the parts more more or less than diagram can be comprised, or combine some parts, or different parts are arranged.Wherein:
RF circuit 110 can be used for receiving and sending messages or in communication process, the reception of signal and transmission, especially, after being received by the downlink information of base station, transfer to more than one or one processor 180 to process; In addition, base station is sent to by relating to up data.Usually, RF circuit 110 includes but not limited to antenna, at least one amplifier, tuner, one or more oscillator, subscriber identity module (SIM) card, transceiver, coupler, LNA (LowNoiseAmplifier, low noise amplifier), duplexer etc.In addition, RF circuit 110 can also by radio communication and network and other devices communicatings.Described radio communication can use arbitrary communication standard or agreement, include but not limited to GSM (GlobalSystemofMobilecommunication, global system for mobile communications), GPRS (GeneralPacketRadioService, general packet radio service), CDMA (CodeDivisionMultipleAccess, code division multiple access), WCDMA (WidebandCodeDivisionMultipleAccess, Wideband Code Division Multiple Access (WCDMA)), LTE (LongTermEvolution, Long Term Evolution), Email, SMS (ShortMessagingService, Short Message Service) etc.
Memory 120 can be used for storing software program and module, and processor 180 is stored in software program and the module of memory 120 by running, thus performs the application of various function and data processing.Memory 120 mainly can comprise storage program district and store data field, and wherein, storage program district can storage operation system, application program (such as sound-playing function, image player function etc.) etc. needed at least one function; Store data field and can store the data (such as voice data, phone directory etc.) etc. created according to the use of terminal 400.In addition, memory 120 can comprise high-speed random access memory, can also comprise nonvolatile memory, such as at least one disk memory, flush memory device or other volatile solid-state parts.Correspondingly, memory 120 can also comprise Memory Controller, to provide the access of processor 180 and input unit 130 pairs of memories 120.
Input unit 130 can be used for the numeral or the character information that receive input, and produces and to arrange with user and function controls relevant keyboard, mouse, action bars, optics or trace ball signal and inputs.Particularly, input unit 130 can comprise Touch sensitive surface 131 and other input equipments 132.Touch sensitive surface 131, also referred to as touch display screen or Trackpad, user can be collected or neighbouring touch operation (such as user uses any applicable object or the operations of annex on Touch sensitive surface 131 or near Touch sensitive surface 131 such as finger, stylus) thereon, and drive corresponding jockey according to the formula preset.Optionally, Touch sensitive surface 131 can comprise touch detecting apparatus and touch controller two parts.Wherein, touch detecting apparatus detects the touch orientation of user, and detects the signal that touch operation brings, and sends signal to touch controller; Touch controller receives touch information from touch detecting apparatus, and converts it to contact coordinate, then gives processor 180, and the order that energy receiving processor 180 is sent also is performed.In addition, the polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave can be adopted to realize Touch sensitive surface 131.Except Touch sensitive surface 131, input unit 130 can also comprise other input equipments 132.Particularly, other input equipments 132 can include but not limited to one or more in physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc.
Display unit 140 can be used for the various graphical user interface showing information or the information being supplied to user and the terminal 400 inputted by user, and these graphical user interface can be made up of figure, text, icon, video and its combination in any.Display unit 140 can comprise display floater 141, optionally, the form such as LCD (LiquidCrystalDisplay, liquid crystal display), OLED (OrganicLight-EmittingDiode, Organic Light Emitting Diode) can be adopted to configure display floater 141.Further, Touch sensitive surface 131 can cover display floater 141, when Touch sensitive surface 131 detects thereon or after neighbouring touch operation, send processor 180 to determine the type of touch event, on display floater 141, provide corresponding vision to export with preprocessor 180 according to the type of touch event.Although in fig. 14, Touch sensitive surface 131 and display floater 141 be as two independently parts realize input and input function, in certain embodiments, can by Touch sensitive surface 131 and display floater 141 integrated and realize input and output function.
Terminal 400 also can comprise at least one transducer 150, such as optical sensor, motion sensor and other transducers.Particularly, optical sensor can comprise ambient light sensor and proximity transducer, and wherein, ambient light sensor the light and shade of environmentally light can regulate the brightness of display floater 141, proximity transducer when terminal 400 moves in one's ear, can cut out display floater 141 and/or backlight.As the one of motion sensor, Gravity accelerometer can detect the size of all directions (are generally three axles) acceleration, size and the direction of gravity can be detected time static, can be used for identifying the application (such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating) of mobile phone attitude, Vibration identification correlation function (such as pedometer, knock) etc.; As for terminal 400 also other transducers such as configurable gyroscope, barometer, hygrometer, thermometer, infrared ray sensor, do not repeat them here.
Voicefrequency circuit 160, loud speaker 161, microphone 162 can provide the audio interface between user and terminal 400.Voicefrequency circuit 160 can by receive voice data conversion after the signal of telecommunication, be transferred to loud speaker 161, by loud speaker 161 be converted to voice signal export; On the other hand, the voice signal of collection is converted to the signal of telecommunication by microphone 162, voice data is converted to after being received by voicefrequency circuit 160, after again voice data output processor 180 being processed, through RF circuit 110 to send to such as another terminal, or export voice data to memory 120 to process further.Voicefrequency circuit 160 also may comprise earphone jack, to provide the communication of peripheral hardware earphone and terminal 400.
WiFi belongs to short range wireless transmission technology, and by WiFi module 170, terminal 400 can help that user sends and receive e-mail, browsing page and access streaming video etc., and its broadband internet wireless for user provides is accessed.Although Figure 14 shows WiFi module 170, be understandable that, it does not belong to must forming of terminal 400, can omit in the scope of essence not changing invention as required completely.
Processor 180 is control centres of terminal 400, utilize the various piece of various interface and the whole mobile phone of connection, software program in memory 120 and/or module is stored in by running or performing, and call the data be stored in memory 120, perform various function and the deal with data of terminal 400, thus integral monitoring is carried out to mobile phone.Optionally, processor 180 can comprise one or more process core; Preferably, processor 180 accessible site application processor and modem processor, wherein, application processor mainly processes operating system, user interface and application program etc., and modem processor mainly processes radio communication.Be understandable that, above-mentioned modem processor also can not be integrated in processor 180.
Terminal 400 also comprises the power supply 190 (such as battery) of powering to all parts, preferably, power supply can be connected with processor 180 logic by power-supply management system, thus realizes the functions such as management charging, electric discharge and power managed by power-supply management system.Power supply 190 can also comprise one or more direct current or AC power, recharging system, power failure detection circuit, power supply changeover device or the random component such as inverter, power supply status indicator.
Although not shown, terminal 400 can also comprise camera, bluetooth module etc., does not repeat them here.Specifically in the present embodiment, the display unit of terminal 400 is touch-screen displays, terminal 400 also includes memory, and one or more than one program, one of them or more than one program are stored in memory, and are configured to be performed by more than one or one processor state more than one or one program package containing the instruction for carrying out following operation:
Obtain the first data block after target image quantification treatment, and described first data block is divided into the data sub-block of pre-set dimension;
According to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding with value for described first default value time, according to described sub-block traversal order, determine the data sub-block before described first data sub-block;
Compression process is carried out to the quantized value of the pixel that the data sub-block before described first data sub-block comprises.
Optionally, the described quantized value to the pixel that the data sub-block before described first data sub-block comprises carries out compression process, comprising:
In total data sub-block before described first data sub-block, determine second data sub-block adjacent with described first data sub-block;
According to the pixel traversal order preset, in described second data sub-block, determine the first pixel that last quantized value and the second default value are not identical;
According to described pixel traversal order, determine the quantized value of the pixel before the first pixel described in described second data sub-block;
To the quantized value of the pixel that the data sub-block before described second data sub-block comprises, and the quantized value of pixel before the first pixel described in described second data sub-block carries out compression process.
Optionally, the described sub-block traversal order according to presetting, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, comprising:
The pixel number comprised according to the data block prestored and the corresponding relation of sub-block traversal order, determine the first sub-block traversal order that pixel number that described first data block comprises is corresponding;
According to described first sub-block traversal order, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value.
Optionally, described method also comprises:
According in compression process, to the former processing sequence of the pixel that each data sub-block comprises, and the target processing sequence to the pixel that described each data sub-block comprises, the pixel that the data sub-block before described first data sub-block comprises is resequenced.
Optionally, the first data block after described acquisition target image quantification treatment, comprising:
Obtain the first block of pixels in the target image;
By the prediction algorithm prestored, determine the first prediction block that described first block of pixels is corresponding;
Determine that the pixel value and described first of each pixel in described first block of pixels predicts the difference of the pixel value of each pixel in block, obtain the first residual block, discrete cosine transform and quantification treatment are carried out to described first residual block, obtains the first data block that described first residual block is corresponding.
Optionally, described first default value is 0.
In the embodiment of the present invention, obtain the first data block after target image quantification treatment, and the first data block is divided into the data sub-block of pre-set dimension, according to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding be the first default value with value time, according to sub-block traversal order, determine the data sub-block before the first data sub-block, compression process is carried out to the quantized value of the pixel that the data sub-block before the first data sub-block comprises, like this, in the process that target image is compressed, all data sub-block without the need to comprising data block travel through, just can determine quantized value to be compressed, thus the efficiency of compressed image can be improved.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be read-only memory, disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (12)
1. to the method that image compresses, it is characterized in that, described method comprises:
Obtain the first data block after target image quantification treatment, and described first data block is divided into the data sub-block of pre-set dimension;
According to the sub-block traversal order preset, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding with value for described first default value time, according to described sub-block traversal order, determine the data sub-block before described first data sub-block;
Compression process is carried out to the quantized value of the pixel that the data sub-block before described first data sub-block comprises.
2. method according to claim 1, is characterized in that, the described quantized value to the pixel that the data sub-block before described first data sub-block comprises carries out compression process, comprising:
In total data sub-block before described first data sub-block, determine second data sub-block adjacent with described first data sub-block;
According to the pixel traversal order preset, in described second data sub-block, determine the first pixel that last quantized value and the second default value are not identical;
According to described pixel traversal order, determine the quantized value of the pixel before the first pixel described in described second data sub-block;
To the quantized value of the pixel that the data sub-block before described second data sub-block comprises, and the quantized value of pixel before the first pixel described in described second data sub-block carries out compression process.
3. method according to claim 1, is characterized in that, the described sub-block traversal order according to presetting, and whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, comprising:
The pixel number comprised according to the data block prestored and the corresponding relation of sub-block traversal order, determine the first sub-block traversal order that pixel number that described first data block comprises is corresponding;
According to described first sub-block traversal order, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value.
4. method according to claim 1, is characterized in that, described method also comprises:
According in compression process, to the former processing sequence of the pixel that each data sub-block comprises, and the target processing sequence to the pixel that described each data sub-block comprises, the pixel that the data sub-block before described first data sub-block comprises is resequenced.
5. method according to claim 1, is characterized in that, the first data block after described acquisition target image quantification treatment, comprising:
Obtain the first block of pixels in the target image;
By the prediction algorithm prestored, determine the first prediction block that described first block of pixels is corresponding;
Determine that the pixel value and described first of each pixel in described first block of pixels predicts the difference of the pixel value of each pixel in block, obtain the first residual block, discrete cosine transform and quantification treatment are carried out to described first residual block, obtains the first data block that described first residual block is corresponding.
6. method according to claim 1, is characterized in that, described first default value is 0.
7. to the device that image compresses, it is characterized in that, described device comprises:
Acquisition module, for obtaining the first data block after target image quantification treatment, and is divided into the data sub-block of pre-set dimension by described first data block;
Judge module, for according to preset sub-block traversal order, whether what judge the absolute value of the quantized value of the pixel that described each data sub-block comprises successively is the first default value with value, until determine the first data sub-block corresponding with value for described first default value time, according to described sub-block traversal order, determine the data sub-block before described first data sub-block;
Compression module, the quantized value for the pixel comprised the data sub-block before described first data sub-block carries out compression process.
8. device according to claim 7, is characterized in that, described compression module, comprising:
First determines submodule, in the total data sub-block before described first data sub-block, determines second data sub-block adjacent with described first data sub-block;
Second determines submodule, for according to the pixel traversal order preset, determines the first pixel that last quantized value and the second default value are not identical in described second data sub-block;
3rd determines submodule, for according to described pixel traversal order, determines the quantized value of the pixel before the first pixel described in described second data sub-block;
Compression submodule, for the quantized value of pixel comprised the data sub-block before described second data sub-block, and the quantized value of pixel before the first pixel described in described second data sub-block carries out compression and processes.
9. device according to claim 7, is characterized in that, described judge module, comprising:
4th determines submodule, for the corresponding relation of the pixel number that comprises according to the data block that prestores and sub-block traversal order, determines the first sub-block traversal order that pixel number that described first data block comprises is corresponding;
Judge submodule, for according to described first sub-block traversal order, judge successively described each data sub-block corresponding whether be the first default value with value.
10. device according to claim 7, is characterized in that, described device also comprises:
Order module, for according in compression process, to the former processing sequence of the pixel that each data sub-block comprises, and the target processing sequence to the pixel that described each data sub-block comprises, the pixel that the data sub-block before described first data sub-block comprises is resequenced.
11. devices according to claim 7, is characterized in that, described acquisition module, comprising:
First obtains submodule, for obtaining the first block of pixels in the target image;
5th determines submodule, for the prediction algorithm by prestoring, determines the first prediction block that described first block of pixels is corresponding;
6th determines submodule, pixel value and described first for determining each pixel in described first block of pixels predict the difference of the pixel value of each pixel in block, obtain the first residual block, discrete cosine transform and quantification treatment are carried out to described first residual block, obtains the first data block that described first residual block is corresponding.
12. devices according to claim 7, is characterized in that, described first default value is 0.
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