CN109685861A - Picture compression method, apparatus, equipment and computer readable storage medium - Google Patents
Picture compression method, apparatus, equipment and computer readable storage medium Download PDFInfo
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- CN109685861A CN109685861A CN201811016766.3A CN201811016766A CN109685861A CN 109685861 A CN109685861 A CN 109685861A CN 201811016766 A CN201811016766 A CN 201811016766A CN 109685861 A CN109685861 A CN 109685861A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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Abstract
The invention discloses a kind of picture compression methods, comprising: treats compressed picture according to default segmentation rule and carries out cutting, obtains several subgraphs to be compressed；The corresponding optimal compression method of several described subgraphs to be compressed is determined based on default reduced rule；Based on the optimal compression method, several described subgraphs to be compressed are compressed.The invention also discloses a kind of picture compression device, equipment and computer readable storage mediums.The present invention improves the compression ratio of picture.
Description
Technical field
The present invention relates to image processing technology more particularly to a kind of picture compression method, apparatus, equipment and computer
Readable storage medium storing program for executing.
Background technique
It is well known that the size of APP itself is the emphasis that mobile Development persons optimize, and picture just occupies very in APP
Big a part of resource, it is relatively simple for compress mode that the big figure in APP uses at present, usually using jpeg, png,
The single compresseds mode such as webp or svg, compression ratio are promoted limited.
Summary of the invention
The main purpose of the present invention is to provide a kind of picture compression method, apparatus and computer readable storage medium, purports
In the low technical problem of the single caused picture compression rate of the picture compression mode in the prior art that solves.
To achieve the above object, the present invention provides a kind of picture compression method, and the picture compression method includes:
Compressed picture is treated according to default segmentation rule and carries out cutting, obtains several subgraphs to be compressed；
The corresponding optimal compression method of several described subgraphs to be compressed is determined based on default reduced rule；
Based on the optimal compression method, several described subgraphs to be compressed are compressed.
Optionally, described that compressed picture progress cutting is treated according to default segmentation rule, obtain several subgraphs to be compressed
The step of include:
The distribution of color of picture to be compressed is obtained, and receives the cutting instruction based on the distribution of color；
The segmentation lines in the picture to be compressed are determined based on cutting instruction, and according to preset algorithm to the cutting
Line is adjusted, to be several subgraphs to be compressed by the picture cutting to be compressed.
Optionally, the segmentation lines include cutting horizontal line and cutting vertical line, and described instructed based on the cutting determines institute
The segmentation lines in picture to be compressed are stated, and the segmentation lines are adjusted according to preset algorithm, so as to by the figure to be compressed
Piece cutting be several subgraphs to be compressed the step of include:
The segmentation lines in the picture to be compressed are determined based on cutting instruction, and according to preset algorithm to the cutting
Horizontal line carries out adjustment up and down and/or carries out left and right adjustment to the cutting vertical line, so as to based on the cutting horizontal line and/or described
The picture cutting to be compressed is several subgraphs to be compressed by cutting vertical line, wherein the calculation formula of the preset algorithm are as follows:
Δ R=C1, R-C2, R
Δ G=C1, G-C2, G
Δ B=C1, B-C2, B
Wherein, the C1And C2Indicate pixel color 1 and color 2, C1R、C2RIndicate the channel R of color 1 and 2, C1G、C2GTable
Show the channel G of color 1 and 2, C1B、C2BIndicate the channel B of color 1 and 2.
Optionally, described that compressed picture progress cutting is treated according to default segmentation rule, obtain several subgraphs to be compressed
The step of after, further includes:
Record the location information of several subgraphs to be compressed in the picture to be compressed.
Optionally, described that the corresponding optimal compression of several described subgraphs to be compressed is determined based on default reduced rule
The step of method includes:
Obtain the characteristic parameter of default reduced rule and several subgraphs to be compressed；
The corresponding reduced rule of several described subgraphs to be compressed is determined based on the characteristic parameter, and according to the compression
Rule determines the optimal compression method of several subgraphs to be compressed respectively.
Optionally, the optimal compression method includes compression quality and compressed format, described to be based on the optimal compression side
Method, the step of compressing to several described subgraphs to be compressed include:
The corresponding compression algorithm of several described subgraphs to be compressed, and base are determined based on the compression quality and compressed format
The subgraph to be compressed is compressed in the compression algorithm.
Optionally, described to be based on the optimal compression method, the step of compression to several described subgraphs to be compressed
Later, further includes:
The compressed subgraph to be compressed is saved, and when detecting the displaying instruction based on the picture to be compressed,
The compressed subgraph to be compressed is decompressed；
Based on the location information of the record, the subgraph to be compressed after the decompression is combined to obtain described to be compressed
Picture, and the picture to be compressed after the combination is shown.
In addition, to achieve the above object, the present invention also provides a kind of picture compression device, the picture compression device packet
It includes:
Picture cutting module carries out cutting for treating compressed picture according to default segmentation rule, obtains several and wait pressing
Contracting subgraph；
Compression method determining module, for determining that several described subgraphs to be compressed respectively correspond based on default reduced rule
Optimal compression method；
Picture compression module compresses several described subgraphs to be compressed for being based on the optimal compression method.
In addition, to achieve the above object, the present invention also provides a kind of picture compression equipment, the picture compression equipment packet
It includes: memory, processor and being stored in the picture compression program that can be run on the memory and on the processor, it is described
Computer program realizes the step of picture compression method as described above when being executed by the processor.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
Picture compression program is stored on storage medium, the picture compression program realizes picture as described above when being executed by processor
The step of compression method.
A kind of picture compression method proposed by the present invention, is primarily based on default segmentation rule and cuts to picture to be compressed
Point, it is several different subgraphs to be compressed by its cutting, determines several subgraphs to be compressed respectively further according to default reduced rule
Corresponding optimal compression method, and it is compressed based on the optimal compression method.Picture compression method proposed by the present invention,
Pass through cutting big figure to be compressed and optimal compression method is taken to each subgraph to be compressed, so that compressed picture size is total
With less than the big figure individually compressed using a certain mode, the compression ratio of picture is greatly improved, it is big to reduce APP
It is small.
Detailed description of the invention
Fig. 1 is the hardware structural diagram of picture compression equipment involved in the embodiment of the present invention；
Fig. 2 is the flow diagram of picture compression method first embodiment of the present invention；
Fig. 3 is the refinement flow diagram of the step S10 in Fig. 2；
Fig. 4 is the flow diagram of picture compression method second embodiment of the present invention；
Fig. 5 is the flow diagram of picture compression method 3rd embodiment of the present invention；
Fig. 6 is the functional block diagram of picture compression device first embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The primary solutions of the embodiment of the present invention are: treating compressed picture according to default segmentation rule and carry out cutting, obtain
To several subgraphs to be compressed；The corresponding optimal compression of several described subgraphs to be compressed is determined based on default reduced rule
Method；Based on the optimal compression method, several described subgraphs to be compressed are compressed.Skill through the embodiment of the present invention
Art scheme solves the low technical problem of the single caused picture compression rate of picture compression mode in the prior art.
As shown in FIG. 1, FIG. 1 is the hardware structural diagrams of the picture compression equipment involved in the embodiment of the present invention.
The present embodiments relate to picture compression method be mainly used in picture compression equipment, which can
To be the equipment with display and processing function such as PC, portable computer, mobile terminal.
As shown in Figure 1, the picture compression equipment may include: processor 1001, such as CPU, communication bus 1002, user
Interface 1003, network interface 1004, memory 1005.Wherein, communication bus 1002 is for realizing the connection between these components
Communication.User interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard), optional user
Interface 1003 can also include standard wireline interface and wireless interface.Network interface 1004 optionally may include having for standard
Line interface, wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to stable storage
Device (non-volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processing
The storage device of device 1001.
Optionally, picture compression equipment can also include camera, RF (Radio Frequency, radio frequency) circuit, sensing
Device, voicefrequency circuit, Wi-Fi module etc..Wherein, sensor such as optical sensor, motion sensor and other sensors.When
So, picture compression equipment can also configure the other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor,
Details are not described herein.
It will be understood by those skilled in the art that picture compression device structure shown in Fig. 1 is not constituted to picture compression
The restriction of equipment may include perhaps combining certain components or different component cloth than illustrating more or fewer components
It sets.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe module, Subscriber Interface Module SIM and picture compression program.In Fig. 1, network interface 1004 is mainly used for connecting background service
Device carries out data communication with background server；User interface 1003 be mainly used for connect client (user terminal), with client into
Row data communication；And processor 1001, memory 1005 can be set in picture compression device, the picture compression device is logical
It crosses processor 1001 and calls the picture compression program stored in memory 1005, and execute picture pressure provided in an embodiment of the present invention
Contracting method.
Scheme provided in this embodiment is primarily based on default segmentation rule and carries out cutting to picture to be compressed, cut
It is divided into several different subgraphs to be compressed, determines the optimal compression of several subgraphs to be compressed respectively further according to default reduced rule
Method, and it is compressed based on the optimal compression method.Picture compression method proposed by the present invention, it is to be compressed by cutting
It is big to scheme and optimal compression method is taken to each subgraph to be compressed, it is individually used so that compressed picture size summation is less than
The big figure that a certain mode is compressed, greatly improves the compression ratio of picture, reduces APP size.
Based on above-mentioned hardware configuration, picture compression embodiment of the method for the present invention is proposed.
It is the flow diagram of picture compression method first embodiment of the present invention, in this embodiment, institute referring to Fig. 2, Fig. 2
The method of stating includes:
Step S10 treats compressed picture according to default segmentation rule and carries out cutting, obtains several subgraphs to be compressed；
Step S20 determines the corresponding optimal compression side of several described subgraphs to be compressed based on default reduced rule
Method；
Step S30 is based on the optimal compression method, compresses to several described subgraphs to be compressed.
In order to solve the problems, such as that picture compression rate caused by picture compression mode is single is low, picture compression rate is improved to reduce
The size of APP, the invention proposes a kind of picture compression methods, are primarily based on default segmentation rule and carry out to picture to be compressed
Its cutting is several different subgraphs to be compressed, determines several sons to be compressed respectively further according to default reduced rule by cutting
The optimal compression method of figure, and it is compressed based on the optimal compression method, to realize higher picture compression rate.
In the present embodiment, compressed picture is treated according to default segmentation rule first and carries out cutting, specifically, preset cutting
Rule can be based on the color change in picture to be compressed, as shown in figure 3, the step S10 includes:
Step S11 obtains the distribution of color of picture to be compressed, and receives the cutting instruction based on the distribution of color；
Step S12 determines the segmentation lines in the picture to be compressed based on cutting instruction, and according to preset algorithm pair
The segmentation lines are adjusted, to be several subgraphs to be compressed by the picture cutting to be compressed.
Specifically, in the present embodiment, it by obtaining the distribution of color in picture to be compressed, and is primarily based on it manually
Be greatly classified into several different blocks, the foundation of division be according to the color change in picture to be compressed, i.e., color lump change into
Row divides, and is different blocks by the bigger cutting of color lump gap in picture to be compressed.For example, there is one in picture to be compressed
Portrait, other parts are scene images, and portrait part and the color lump of other scene image parts change greatly, then by by portrait
It is divided with other scene images, two or more subgraphs to be compressed can be obtained.
It is understood that manually treating compressed picture first in addition to above-mentioned described passing through carries out a rough division
Except, the distribution of color in picture to be compressed can also be obtained, and based on distribution of color to different face by corresponding program
Block where color is divided, and carries out Preliminary division to treat compressed picture.
Further, based on the distribution of color in picture to be compressed, after treating compressed picture progress Preliminary division, the area Zai Dui
The division of block is further to be adjusted, specifically realized by calculating color distance.
Specifically, the step S12 includes:
Step a determines the segmentation lines in the picture to be compressed based on cutting instruction, and according to preset algorithm to institute
State cutting horizontal line carry out up and down adjustment and/or left and right adjustment is carried out to the cutting vertical line, so as to based on the cutting horizontal line and/
Or the picture cutting to be compressed is several subgraphs to be compressed by the cutting vertical line, wherein the calculating of the preset algorithm
Formula are as follows:
Δ R=C1, R-C2, R
Δ G=C1, G-C2, G
Δ B=C1, B-C2, B
Wherein, the C1And C2Indicate pixel color 1 and color 2, C1R、C2RIndicate the channel R of color 1 and 2, C1G、C2GTable
Show the channel G of color 1 and 2, C1B、C2BIndicate the channel B of color 1 and 2.
Specifically, treating compressed picture and carrying out the segmentation lines of cutting includes cutting horizontal line and cutting vertical line, by treating
Compressed picture carries out rough block division, is divided into several blocks comprising different color blocks, passes through setting segmentation lines
Initial value can greatly improve the subsequent efficiency being adjusted to segmentation lines.It is understood that treating compressed picture progress
The mode of cutting is the cutting in a manner of horizontal line or vertical line, and therefore, each block obtained after cutting is the square blocks of rule.
Further, then based on horizontal line or vertical line of the preset algorithm to cutting it is adjusted, so that the division to block is more accurate.
The concrete mode that horizontal line or vertical line to cutting are adjusted is as follows:
Color distance refers to the gap between two colors, and usual color distance is bigger, shows that two color differences are got over
Greatly；Conversely, two colors are more close.It is calculated by upper and lower or left and right the color distance of horizontal line or vertical line to cutting,
Segmentation lines can be adjusted, keep block cutting more accurate.Specifically, when calculating color distance, by using similar
The formula for calculating point-to-point transmission Euclidean distance is the same, calculates color distance.In rgb space, the calculating of color distance is public
Formula are as follows:
Wherein, C1And C2Indicate color 1 and color 2, C1R、C2RIndicate the channel R of color 1 and 2, C1G、C2GIndicate color 1
With 2 the channel G, C1B、C2BIndicate the channel B of color 1 and 2.
But due to rgb space be it is linear and mutually orthogonal, but the vision system of human eye be not it is linear,
Therefore rgb space can not reflect perception of the human eye to color, so, corresponding color distance can not reflect two well
Whether a color is close.Based on the above issues, improved weighted euclidean distance has been used, specific calculation is as follows:
Δ R=C1, R-C2, R
Δ G=C1, G-C2, G
Δ B=C1, B-C2, B
Similarly, C1And C2Indicate pixel color 1 and color 2, C1R、C2RIndicate the channel R of color 1 and 2, C1G、C2GIt indicates
The channel G of color 1 and 2, C1B、C2BIndicate the channel B of color 1 and 2.Pass through above-mentioned improved weighted euclidean distance calculating side
Method can calculate the gap between two colors.In the present embodiment, the color distance based on segmentation lines two sides, can be right
Segmentation lines are adjusted and determine.
In order to make it easy to understand, concrete example is described as follows: centered on the original segmentation lines determined based on distribution of color,
If segmentation lines are perpendicular tangent lines, by each mobile n pixel of perpendicular segmentation lines or so, moving step length herein is 1 pixel, then may be used
It obtains 2*n root and erects tangent line.The center vertical line of original perpendicular segmentation lines left and right side subgraph is obtained simultaneously, and calculates separately this 2*n
Root erects tangent line at a distance from this two roots figure center vertical line, and the color distance of single pixel is by using improved weighting Europe
Family name's range formula calculates, and the color distance of two root figure center vertical lines is then the color distance summation of each respective pixel, away from
The segmentation lines the smallest from left or right subgraph center vertical line color distance can be identified as finally treating compressed picture progress cutting
Cut-off rule.Similarly, similar processing is also done to traverse, so that it may obtain final cut-off rule, and then after obtaining segmentation
Subgraph to be compressed.
Further, compressed picture is treated according to the color lump variation in picture to be compressed and carries out cutting, to obtain several
After subgraph to be compressed, then obtain default reduced rule, based on default reduced rule be each subgraph to be compressed determine one most
Excellent compression method, and each subgraph to be compressed is compressed based on the optimal compression method, to realize subgraph pressure to be compressed
The promotion of shrinkage.
In the present embodiment, it is primarily based on default segmentation rule and cutting is carried out to picture to be compressed, be several by its cutting
A different subgraph to be compressed, the optimal compression method of several subgraphs to be compressed is determined further according to default reduced rule respectively,
And it is compressed based on the optimal compression method.Picture compression method proposed by the present invention passes through cutting big figure to be compressed
And optimal compression method is taken to each subgraph to be compressed, so that compressed picture size summation is less than individually using a certain
The big figure that kind mode is compressed, greatly improves the compression ratio of picture, reduces APP size.
Further, referring to Fig. 4, based on the above embodiment, picture compression method second embodiment of the present invention is proposed, at this
In embodiment, the step S20 includes:
Step S21 obtains the characteristic parameter of default reduced rule and several subgraphs to be compressed；
Step S22 determines several described subgraphs pair to be compressed based on the characteristic parameter and the default reduced rule
The reduced rule answered, and according to the optimal compression method of several subgraphs to be compressed described in the reduced rule respectively determination.
Compressed picture is treated according to the color lump variation in picture to be compressed and carries out cutting, to obtain several subgraphs to be compressed
Afterwards, then based on default reduced rule, most suitable compression method is taken to compress each subgraph to be compressed, specific method
It is as follows: to obtain the characteristic parameter of subgraph to be compressed first, wherein whether characteristic parameter may include: picture size, comprising transparent
And color of image number etc., picture size refer to the total pixel number that the subgraph to be compressed after cutting is included, with width direction picture
The product representation of element and short transverse pixel；Whether whether it is less than centainly comprising the transparent color of image number for referring to subgraph to be compressed
Numerical value, if so, it includes transparent for being considered as subgraph to be compressed；Color of image number refers to the number of color included in image, with
It is related that digit used in color is described.
It is understood that can also include other other than the characteristic parameter of above-mentioned cited subgraph to be compressed
Characteristic parameter, herein and be not listed one by one.
According to the features described above parameter of subgraph to be compressed, it can determine that several wait pressing based on corresponding default reduced rule
The corresponding reduced rule of contracting subgraph, the optimal compression side of each subgraph to be compressed is assured that based on the reduced rule
Method, including compression quality and compressed format.Specifically, different compressions can be set for the type of different subgraphs to be compressed
Rule, for example, if the picture size of subgraph to be compressed less than the first preset threshold, and in subgraph to be compressed contain transparent and picture
When number of colours is less than the first pre-set color number, that is, it can determine that the corresponding reduced rule of the subgraph to be compressed is the first reduced rule,
And so on, the reduced rule under different picture sizes, transparency parameter and color parameter can be set.As shown in the table, it is
A default reduced rule in the present embodiment:
| Picture size | Whether comprising transparent | Picture color number | Compression quality | Compressed format |
| < 2k | It can contain transparent | <=4 | 100% | SVG |
| > 20k | Without transparent | >=256 | 70% | JPEG |
| > 20K | It can contain transparent | >=512 | 70% | WEBP |
It is understood that above-mentioned default reduced rule and imperfect, can be increased and be adjusted according to actual needs.Base
In above-mentioned default reduced rule, according to the corresponding characteristic parameter of subgraph to be compressed of acquisition, that is, the subgraph institute to be compressed can determine
Corresponding optimal compression method, to be compressed to it.
Further, described to be based on the optimal compression method, the step compressed to several described subgraphs to be compressed
Suddenly include:
Step b determines the corresponding compression calculation of several described subgraphs to be compressed based on the compression quality and compressed format
Method, and the subgraph to be compressed is compressed based on the compression algorithm.
Further, based on default reduced rule accordingly, it can determine that several subgraphs to be compressed are corresponding most
Excellent compression method, including compression quality and compressed format etc. can determine correspondence according to determining compression quality and compressed format
Subgraph to be compressed compression processing algorithm.Specifically, compression quality, compressed format and compression processing algorithm can be preset
Between corresponding relationship, wherein compression processing algorithm can be preset logic rules, can also call existing using above-mentioned
The tool of compression processing algorithm to carry out compression processing to picture.It is understood that can also be determined using decision Tree algorithms
The optimal compression method of fixed subgraph to be compressed.After the optimal compression method for determining subgraph to be compressed, to each subgraph to be compressed into
Row compression processing improves the compression ratio of picture.
In the present embodiment, compressed picture is treated to carry out obtaining subgraph to be compressed after cutting obtains several subgraphs to be compressed
Characteristic parameter its corresponding optimal compression side is determined based on default reduced rule and according to the characteristic parameter of subgraph to be compressed
Method, wherein optimal compression method includes compression quality and compressed format, be based further on compression quality and compressed format determine to
The compression algorithm for compressing subgraph, finally compresses corresponding subgraph to be compressed according to the compression algorithm.By for each
Subgraph to be compressed takes optimal compression method, reduces shared memory after picture compression, improves picture compression rate.
Further, referring to Fig. 5, based on the above embodiment, picture compression method 3rd embodiment of the present invention is proposed, at this
In embodiment, after the step S30 further include:
Step S40 saves the compressed subgraph to be compressed, and is detecting the displaying based on the picture to be compressed
When instruction, the compressed subgraph to be compressed is decompressed；
Step S50 is combined to obtain institute based on the location information of the record to the subgraph to be compressed after the decompression
Picture to be compressed is stated, and the picture to be compressed after the combination is shown.
In the present embodiment, it after taking optimal compression method to compress respectively to each subgraph to be compressed, will press
Subgraph after contracting is saved, when needing to show big figure, by carrying out decompression and group to each compressed subgraph to be compressed
It closes, combined mode is to be combined according to the arrangement position before subgraph cutting to be compressed to compressed subgraph, to be spliced into
The complete picture of one width, can be completed the decompression for treating compressed picture and displaying.
Specifically, after the step S10, further includes:
Step c records the location information of several subgraphs to be compressed in the picture to be compressed.
Specifically, after treating compressed picture progress cutting to obtain several subgraphs to be compressed, for the ease of subsequent to pressure
Subgraph after contracting is combined, several subgraphs to be compressed that should be obtained to cutting are marked, specifically referring to be compressed
Position mark of the subgraph in original picture to be compressed.For example, the position of the subgraph to be compressed after preservation cutting can be passed through
Parameter information, to determine the position of the subgraph to be compressed in picture to be compressed.
Further, subgraph to be compressed can generate a series of sons to be compressed after the completion of based on the compression of optimal compression method
Scheme compressed picture format file and data description file, data description file is mainly the file of each subgraph to be compressed
Name, left top coordinate and width are high, wherein left top coordinate and wide height describe subgraph to be compressed in original big figure to be compressed
Location information.When detecting the displaying information based on the big figure to be compressed, each compressed subgraph can be decompressed,
Subgraph to be compressed is retrieved, further according to the left top coordinate and width height in data description file, to each son to be compressed after decompression
Figure is combined, and can splice to obtain original big figure to be compressed again, and big figure to be compressed is shown.
In the present embodiment, cutting is carried out to picture to be compressed based on default segmentation rule, by its cutting be it is several not
Same subgraph to be compressed, and location information of several subgraphs to be compressed in original big figure to be compressed is recorded, it is needed to work as
When showing big figure to be compressed, the subgraph to be compressed after decompression is spliced again according to the location information of record, obtain to
Compressed picture, and the picture to be compressed after combination is shown, reduce the size of APP, improves the usage experience of user.
In addition, the embodiment of the present invention also provides a kind of picture compression device.
It is the functional block diagram of picture compression device first embodiment of the present invention referring to Fig. 6, Fig. 6.
In the present embodiment, the picture compression device includes:
Picture cutting module carries out cutting for treating compressed picture according to default segmentation rule, obtains several and wait pressing
Contracting subgraph；
Compression method determining module, for determining that several described subgraphs to be compressed respectively correspond based on default reduced rule
Optimal compression method；
Picture compression module compresses several described subgraphs to be compressed for being based on the optimal compression method.
Further, the picture cutting module 10 specifically includes:
Picture cutting unit for obtaining the distribution of color of picture to be compressed, and receives cutting based on the distribution of color
Split instruction；
Cutting adjustment unit, for determining the segmentation lines in the picture to be compressed based on cutting instruction, and according to
Preset algorithm is adjusted the segmentation lines, to be several subgraphs to be compressed by the picture cutting to be compressed.
Further, the cutting adjustment unit specifically includes:
Segmentation lines adjust subelement, for determining the segmentation lines in the picture to be compressed based on cutting instruction, and
Adjustment up and down is carried out to the cutting horizontal line according to preset algorithm and/or left and right adjustment is carried out to the cutting vertical line, so as to base
It by the picture cutting to be compressed is several subgraphs to be compressed in the cutting horizontal line and/or the cutting vertical line, wherein institute
State the calculation formula of preset algorithm are as follows:
Δ R=C1, R-C2, R
Δ G=C1, G-C2, G
Δ B=C1, B-C2, B
Wherein, the C1And C2Indicate pixel color 1 and color 2, C1R、C2RIndicate the channel R of color 1 and 2, C1G、C2GTable
Show the channel G of color 1 and 2, C1B、C2BIndicate the channel B of color 1 and 2.
Further, the picture compression device further include:
Position recording unit, for recording position letter of several the described subgraphs to be compressed in the picture to be compressed
Breath.
Further, the compression method determining module 20 specifically includes:
Parameter acquiring unit, for obtaining the characteristic parameter of default reduced rule and several subgraphs to be compressed；
Compression method determination unit, for described in being determined based on the characteristic parameter and the default reduced rule several
The corresponding reduced rule of subgraph to be compressed, and determine the optimal of several subgraphs to be compressed respectively according to the reduced rule
Compression method.
Further, the picture compression module 30 specifically includes:
Compression algorithm determination unit, for determining several described sons to be compressed based on the compression quality and compressed format
Scheme corresponding compression algorithm, and the subgraph to be compressed is compressed based on the compression algorithm.
Further, the picture compression device further include:
Subgraph decompression units for saving the compressed subgraph to be compressed, and are being detected based on described to be compressed
When the displaying instruction of picture, the compressed subgraph to be compressed is decompressed；
Subgraph assembled unit carries out the subgraph to be compressed after the decompression for the location information based on the record
Combination obtains the picture to be compressed, and is shown to the picture to be compressed after the combination.
Wherein, modules are opposite with each step in above-mentioned picture compression embodiment of the method in above-mentioned picture compression device
It answers, function and realization process no longer repeat one by one here.
In addition, the embodiment of the present invention also proposes a kind of computer readable storage medium, the computer readable storage medium
On be stored with picture compression program, the picture compression program realizes picture compression method as described above when being executed by processor
The step of.
Wherein, picture compression program, which is performed realized method, can refer to each reality of picture compression method of the present invention
Example is applied, details are not described herein again.
Scheme provided in this embodiment is primarily based on default segmentation rule and carries out cutting to picture to be compressed, cut
It is divided into several different subgraphs to be compressed, determines the optimal compression of several subgraphs to be compressed respectively further according to default reduced rule
Method, and it is compressed based on the optimal compression method.Picture compression method proposed by the present invention, it is to be compressed by cutting
It is big to scheme and optimal compression method is taken to each subgraph to be compressed, it is individually used so that compressed picture size summation is less than
The big figure that a certain mode is compressed, greatly improves the compression ratio of picture, reduces APP size.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of picture compression method, which is characterized in that the picture compression method the following steps are included:
Compressed picture is treated according to default segmentation rule and carries out cutting, obtains several subgraphs to be compressed；
The corresponding optimal compression method of several described subgraphs to be compressed is determined based on default reduced rule；
Based on the optimal compression method, several described subgraphs to be compressed are compressed.
2. picture compression method as described in claim 1, which is characterized in that it is described according to default segmentation rule to figure to be compressed
Piece carries out cutting, and the step of obtaining several subgraphs to be compressed includes:
The distribution of color of picture to be compressed is obtained, and receives the cutting instruction based on the distribution of color；
Determine the segmentation lines in the picture to be compressed based on cutting instruction, and according to preset algorithm to the segmentation lines into
Row adjustment, to be several subgraphs to be compressed by the picture cutting to be compressed.
3. picture compression method as claimed in claim 2, which is characterized in that the segmentation lines include cutting horizontal line and cutting
Vertical line, it is described that segmentation lines in the picture to be compressed are determined based on cutting instruction, and cut according to preset algorithm to described
Separated time is adjusted, to include: the step of being several subgraphs to be compressed by the picture cutting to be compressed
The segmentation lines in the picture to be compressed are determined based on cutting instruction, and according to preset algorithm to the cutting horizontal line
It carries out adjustment up and down and/or left and right adjustment is carried out to the cutting vertical line, to be based on the cutting horizontal line and/or the cutting
The picture cutting to be compressed is several subgraphs to be compressed by vertical line, wherein the calculation formula of the preset algorithm are as follows:
Δ R=C1, R-C2, R
Δ G=C1, G-C2, G
Δ B=C1, B-C2, B
Wherein, the C1And C2Indicate pixel color 1 and color 2, C1R、C2RIndicate the channel R of color 1 and 2, C1G、C2GIndicate face
The channel G of color 1 and 2, C1B、C2BIndicate the channel B of color 1 and 2.
4. picture compression method as claimed in claim 3, which is characterized in that it is described according to default segmentation rule to figure to be compressed
After the step of piece carries out cutting, obtains several subgraphs to be compressed, further includes:
Record the location information of several subgraphs to be compressed in the picture to be compressed.
5. picture compression method as claimed in claim 4, which is characterized in that if described determining described based on default reduced rule
The step of dry subgraph to be compressed corresponding optimal compression method includes:
Obtain the characteristic parameter of default reduced rule and several subgraphs to be compressed；
The corresponding reduced rule of several described subgraphs to be compressed is determined based on the characteristic parameter and the default reduced rule,
And determine the optimal compression method of several subgraphs to be compressed respectively according to the reduced rule.
6. picture compression method as claimed in claim 5, which is characterized in that the optimal compression method include compression quality and
Compressed format, described to be based on the optimal compression method, the step of compressing to several described subgraphs to be compressed, includes:
The corresponding compression algorithm of several described subgraphs to be compressed is determined based on the compression quality and compressed format, and is based on institute
Compression algorithm is stated to compress the subgraph to be compressed.
7. picture compression method as claimed in claim 6, which is characterized in that it is described to be based on the optimal compression method, to institute
After stating the step of several subgraphs to be compressed are compressed, further includes:
The compressed subgraph to be compressed is saved, and when detecting the displaying instruction based on the picture to be compressed, to institute
Compressed subgraph to be compressed is stated to be decompressed；
Based on the location information of the record, the subgraph to be compressed after the decompression is combined to obtain the figure to be compressed
Piece, and the picture to be compressed after the combination is shown.
8. a kind of picture compression device, which is characterized in that the picture compression device includes:
Picture cutting module carries out cutting for treating compressed picture according to default segmentation rule, obtains several sons to be compressed
Figure；
Compression method determining module, for determining that several described subgraphs to be compressed are corresponding most based on default reduced rule
Excellent compression method；
Picture compression module compresses several described subgraphs to be compressed for being based on the optimal compression method.
9. a kind of picture compression equipment, which is characterized in that the picture compression equipment includes: memory, processor and is stored in
On the memory and the picture compression program that can run on the processor, the picture compression program is by the processor
The step of picture compression method as described in any one of claims 1 to 7 is realized when execution.
10. a kind of computer readable storage medium, which is characterized in that be stored with picture pressure on the computer readable storage medium
Contracting program realizes the picture compression as described in any one of claims 1 to 7 when the picture compression program is executed by processor
The step of method.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811016766.3A CN109685861B (en) | 2018-08-31 | 2018-08-31 | Picture compression method, device and equipment and computer readable storage medium |
| PCT/CN2018/122718 WO2020042467A1 (en) | 2018-08-31 | 2018-12-21 | Image compression method, apparatus and device, and computer-readable storage medium |
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| CN201811016766.3A CN109685861B (en) | 2018-08-31 | 2018-08-31 | Picture compression method, device and equipment and computer readable storage medium |
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| CN109685861B (en) | 2022-03-15 |
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