CN113570677A - Image compression method and device - Google Patents
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Abstract
The invention discloses an image compression method and device. Wherein, the method comprises the following steps: partitioning an image to obtain a plurality of image blocks; compressing each image block in the plurality of image blocks respectively to obtain optimized compressed data; the optimized compressed data obtained by compressing each image block are combined to obtain a compression result of compressing the image, the partitioned image blocks are compressed to obtain optimized compressed data, and the compression result is obtained according to the optimized compressed data, so that the technical effect of realizing efficient and accurate compression by adopting a direct compression method is achieved, and the technical problems that in the related technology, the image feature recognition is complex and the image compression quality is not high are solved.
Description
Technical Field
The present invention relates to the field of image processing, and in particular, to an image compression method and apparatus.
Background
In the related art, when an image is compressed, different types of images are compressed and encoded by different compression algorithms to obtain different compression ratios and different image restoration qualities, and therefore, in order to achieve better compression quality, in the related art, generally, a plurality of methods are used to analyze image characteristics, a compression algorithm with the best image compression quality is selected, and the image is compressed according to the selected compression algorithm. However, when the image features are analyzed, the algorithm for identifying the image features is complex and has low accuracy, so that the selection of the image compression algorithm is also inaccurate, and finally the compression quality of the image is not high.
Therefore, in the related art, there is a problem that a compression algorithm is selected according to image features to compress an image, and not only is image feature recognition complicated, but also image compression quality is not high.
Disclosure of Invention
The embodiment of the invention provides an image compression method and device, which at least solve the technical problems of complex image feature recognition and low image compression quality in the related technology.
According to an aspect of an embodiment of the present invention, there is provided an image compression method including: partitioning an image to obtain a plurality of image blocks; compressing each image block in the plurality of image blocks respectively to obtain optimized compressed data; and merging the optimized compressed data obtained by compressing each image block to obtain a compression result of compressing the image.
Optionally, compressing each of the plurality of image blocks respectively to obtain the preferred compressed data includes: compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain corresponding plurality of compressed data; selecting compressed data with the best compression ratio from the plurality of kinds of compressed data as the preferred compressed data.
Optionally, compressing each of the plurality of image blocks respectively to obtain the preferred compressed data includes: compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain corresponding plurality of compressed data; carrying out reverse decoding on the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data; selecting decoded data with the best image restoration quality from the plurality of types of decoded data, and using compressed data corresponding to the selected decoded data as the preferred compressed data.
Optionally, compressing each of the plurality of image blocks respectively to obtain the preferred compressed data includes: compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain corresponding plurality of compressed data; carrying out reverse decoding on the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data; selecting decoded data of which image restoration quality exceeds a first predetermined threshold from the plurality of kinds of decoded data; selecting decoded data of which the compression ratio of corresponding compressed data exceeds a second predetermined threshold from the decoded data of which the image restoration quality exceeds the first predetermined threshold; and determining the compressed data corresponding to the selected decoding data as the preferred compressed data.
Optionally, compressing each of the plurality of image blocks respectively to obtain the preferred compressed data includes: selecting a preferred compression method corresponding to the image type according to the image type of each image block in the plurality of image blocks; and compressing each image block in the plurality of image blocks according to the selected preferred compression method to obtain the preferred compressed data.
According to another aspect of the present invention, there is provided an image compression apparatus including: the block dividing module is used for dividing the image to obtain a plurality of image blocks; the compression module is used for respectively compressing each image block in the plurality of image blocks to obtain optimized compressed data; and the merging module is used for merging the optimized compressed data obtained by compressing each image block to obtain a compression result of compressing the image.
Optionally, the compression module comprises: the first compression unit is used for compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain a plurality of corresponding compressed data; a first selecting unit configured to select, as the preferred compressed data, compressed data having a best compression ratio from the plurality of kinds of compressed data.
Optionally, the compression module comprises: the second compression unit is used for compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain a plurality of corresponding compressed data; the first decoding unit is used for carrying out reverse decoding on the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data; and a second selecting unit configured to select decoded data with a best image restoration quality from the plurality of types of decoded data, and to use compressed data corresponding to the selected decoded data as the preferred compressed data.
Optionally, the compression module comprises: the third compression unit is used for compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain a plurality of corresponding compressed data; the second decoding unit is used for carrying out reverse decoding on the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data; a third selection unit operable to select, from the plurality of kinds of decoded data, decoded data whose image restoration quality exceeds a first predetermined threshold; a fourth selecting unit configured to select, from the decoded data whose image restoration quality exceeds the first predetermined threshold, decoded data whose compression ratio of corresponding compressed data exceeds a second predetermined threshold; and the determining unit is used for determining the compressed data corresponding to the selected decoding data as the preferred compressed data.
According to still another aspect of the present invention, there is provided a storage medium including a stored program, wherein the program executes the image compression method of any one of the above.
According to a further aspect of the present invention, there is provided a processor for executing a program, wherein the program executes to perform the image compression method according to any one of the above.
In the embodiment of the invention, the image is partitioned to obtain a plurality of image blocks; compressing each image block in the plurality of image blocks respectively to obtain optimized compressed data; the optimized compressed data obtained by compressing each image block are combined to obtain a compressed result of compressing the image, the partitioned image blocks are compressed to obtain optimized compressed data, and the compressed result is obtained according to the optimized compressed data, so that the technical effect of realizing efficient and accurate compression by adopting a direct compression method is achieved, and the technical problems that in the related technology, the image feature recognition is complex and the image compression quality is not high are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of image compression according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of image compression according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of blocking an image according to an embodiment of the present invention;
FIG. 4 is a schematic illustration of merging encoded compressed data according to an embodiment of the present invention;
fig. 5 is a block diagram of the structure of an image compression apparatus according to an embodiment of the present invention;
FIG. 6 is a block diagram I of a preferred structure of a compression module 54 in the image compression apparatus according to the embodiment of the present invention;
FIG. 7 is a block diagram of a preferred structure of the compression module 54 in the image compression apparatus according to the embodiment of the present invention;
fig. 8 is a block diagram of a preferred structure of the compression module 54 in the image compression apparatus according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment of an image compression method, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of an image compression method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, partitioning an image to obtain a plurality of image blocks;
step S104, compressing each image block in the plurality of image blocks respectively to obtain optimized compressed data;
and step S106, merging the optimized compressed data obtained by compressing each image block to obtain a compression result of compressing the image.
Through the steps, the optimized compressed data is obtained by compressing the partitioned image blocks, and the compression result is obtained according to the optimized compressed data, so that the technical effect of realizing efficient and accurate compression by adopting a direct compression method is achieved, and the technical problems that in the related art, the image feature recognition is complex and the image compression quality is not high are solved.
When the optimal compressed data is obtained by respectively compressing each image block of the plurality of image blocks, a plurality of modes can be adopted, for example, if the compression effect mainly considered is a compression ratio, each image block of the plurality of image blocks can be directly compressed by a plurality of compression methods to obtain a plurality of corresponding compressed data; the compressed data with the best compression ratio is selected from the plurality of kinds of compressed data as the preferred compressed data.
If the compression effect mainly considered is the quality of image restoration, each image block in the plurality of image blocks is compressed respectively to obtain the preferred compressed data, the following method can be adopted: compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain corresponding plurality of compressed data; reversely decoding the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data; the decoded data having the best image restoration quality is selected from the plurality of types of decoded data, and the compressed data corresponding to the selected decoded data is set as the preferred compressed data.
If the compression ratio and the image restoration quality need to be considered compatibly, each image block in the plurality of image blocks is compressed respectively, and when the preferred compressed data is obtained, the following processing mode can be adopted: compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain corresponding plurality of compressed data; reversely decoding the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data; selecting decoded data of which image restoration quality exceeds a first predetermined threshold from among a plurality of kinds of decoded data; selecting decoded data of which the compression ratio of corresponding compressed data exceeds a second predetermined threshold from the decoded data of which the image restoration quality exceeds the first predetermined threshold; and determining the compressed data corresponding to the selected decoding data as the preferred compressed data.
In addition, when each image block in the plurality of image blocks is compressed respectively to obtain preferred compressed data, for an image with a relatively obvious image type, in order to improve the compression efficiency, a preferred compression method corresponding to the image type can be selected directly and roughly according to the image type of each image block in the plurality of image blocks; and compressing each image block in the plurality of image blocks according to the selected preferred compression method to obtain preferred compressed data.
Based on the foregoing embodiments and preferred implementations, a preferred embodiment is provided, and fig. 2 is a flowchart of an image compression method according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
step S202, partitioning the image, FIG. 3 is a schematic diagram of partitioning the image according to an embodiment of the present invention;
step S204, performing parallel compression on each image block by using multiple compression algorithms (the number and the types of the encoders are not limited), and selecting the encoder with the best compression ratio according to a compression result;
step S206, storing the position information of each image block, the selected encoder, and the compressed data, where fig. 4 is a schematic diagram of merging encoded compressed data according to an embodiment of the present invention, and as shown in fig. 4, the merged encoding result:
{ picture block coordinates (0,0), encoder: C, compressed data [ … … ] },
{ picture block coordinates (0,1), encoder: B, compressed data [ … … ] },
{ picture block coordinates (1,0), encoder: A, compressed data [ … … ] },
{ picture block coordinates (1,1), encoder: B, compressed data [ … … ] },
step S208, during decompression, a corresponding decompression algorithm is used for the coding result of each picture block, and the decompressed data is restored to the corresponding coordinates.
According to an embodiment of the present invention, there is provided an apparatus embodiment of an image compression apparatus, and fig. 5 is a block diagram of a structure of the image compression apparatus according to the embodiment of the present invention, as shown in fig. 5, the apparatus including: a chunking module 52, a compression module 54, and a merging module 56, which are described below.
A block module 52, configured to block an image to obtain a plurality of image blocks; a compressing module 54, connected to the partitioning module 52, for compressing each of the plurality of image blocks to obtain preferred compressed data; and a merging module 56, connected to the compressing module 54, for merging the preferred compressed data obtained by compressing each image block to obtain a compression result of compressing the image.
Fig. 6 is a block diagram of a preferred structure of a compression module 54 in the image compression apparatus according to the embodiment of the present invention, as shown in fig. 5, the compression module 54 includes: a first compression unit 62 and a first selection unit 64, which will be described below with respect to the compression module 54.
The first compression unit 62 is configured to compress each of the plurality of image blocks by using a plurality of compression methods to obtain a plurality of corresponding compressed data; a first selecting unit 64 connected to the first compressing unit 62 for selecting the compressed data with the best compression ratio from the plurality of kinds of compressed data as the preferred compressed data.
Fig. 7 is a block diagram of a preferred structure of a compression module 54 in the image compression apparatus according to the embodiment of the present invention, and as shown in fig. 7, the compression module 54 includes: a second compression unit 72, a first decoding unit 74 and a second selection unit 76, which are explained below with respect to the compression module 54.
The second compression unit 72 is configured to compress each of the plurality of image blocks by using a plurality of compression methods to obtain a plurality of corresponding compressed data; a first decoding unit 74, connected to the second compressing unit 72, for performing reverse decoding on the multiple compressed data by using a decoding method corresponding to the multiple compression methods to obtain corresponding multiple decoded data; and a second selecting unit 76, connected to the first decoding unit 74, for selecting the decoded data with the best image restoration quality from the plurality of decoded data and using the compressed data corresponding to the selected decoded data as the preferred compressed data.
Fig. 8 is a block diagram of a preferred structure of a compression module 54 in the image compression apparatus according to the embodiment of the present invention, and as shown in fig. 8, the compression module 54 includes: a third compressing unit 80, a second decoding unit 82, a third selecting unit 84, a fourth selecting unit 86 and a determining unit 88, which are explained below with respect to the compressing module 54.
A third compression unit 80, configured to compress each image block of the multiple image blocks by using multiple compression methods to obtain multiple corresponding compressed data; a second decoding unit 82, connected to the third compressing unit 80, for performing reverse decoding on the multiple compressed data by using a decoding method corresponding to the multiple compression methods to obtain corresponding multiple decoded data; a third selecting unit 84, connected to the second decoding unit 82, for selecting decoded data from the plurality of decoded data whose image restoration quality exceeds a first predetermined threshold; a fourth selecting unit 86, connected to the third selecting unit 84, for selecting, from the decoded data whose image restoration quality exceeds the first predetermined threshold, the decoded data whose corresponding compressed data has a compression ratio exceeding the second predetermined threshold; and a determining unit 88, connected to the fourth selecting unit 86, for determining the compressed data corresponding to the selected decoded data as the preferred compressed data.
According to still another aspect of the present invention, there is provided a storage medium including a stored program, wherein the program executes the image compression method of any one of the above.
According to a further aspect of the present invention, there is provided a processor for executing a program, wherein the program executes to perform the image compression method of any one of the above.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit may be a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (8)
1. An image compression method, comprising:
partitioning an image to obtain a plurality of image blocks;
compressing each image block in the plurality of image blocks respectively to obtain optimized compressed data;
merging the optimized compressed data obtained by compressing each image block to obtain a compression result of compressing the image;
wherein compressing each of the plurality of image blocks to obtain preferred compressed data comprises:
compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain corresponding plurality of compressed data; selecting compressed data with the best compression ratio from the plurality of kinds of compressed data as the preferred compressed data; or the like, or, alternatively,
selecting a preferred compression method corresponding to the image type according to the image type of each image block in the plurality of image blocks; and compressing each image block in the plurality of image blocks according to the selected preferred compression method to obtain the preferred compressed data.
2. The method of claim 1, wherein compressing each tile of the plurality of tiles separately to obtain the preferred compressed data comprises:
compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain corresponding plurality of compressed data;
carrying out reverse decoding on the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data;
selecting decoded data with the best image restoration quality from the plurality of types of decoded data, and using compressed data corresponding to the selected decoded data as the preferred compressed data.
3. The method of claim 1, wherein compressing each tile of the plurality of tiles separately to obtain the preferred compressed data comprises:
compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain corresponding plurality of compressed data;
carrying out reverse decoding on the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data;
selecting decoded data of which image restoration quality exceeds a first predetermined threshold from the plurality of kinds of decoded data;
selecting decoded data of which the compression ratio of corresponding compressed data exceeds a second predetermined threshold from the decoded data of which the image restoration quality exceeds the first predetermined threshold;
and determining the compressed data corresponding to the selected decoding data as the preferred compressed data.
4. An image compression apparatus, comprising:
the block dividing module is used for dividing the image to obtain a plurality of image blocks;
the compression module is used for respectively compressing each image block in the plurality of image blocks to obtain optimized compressed data;
the merging module is used for merging the optimized compressed data obtained by compressing each image block to obtain a compression result of compressing the image;
the compression module is used for compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain a plurality of corresponding compressed data; a first selection unit configured to select, as the preferred compressed data, compressed data having a best compression ratio from the plurality of types of compressed data; or the like, or, alternatively,
the compression module is used for selecting a preferred compression method corresponding to the image type according to the image type of each image block in the plurality of image blocks; and compressing each image block in the plurality of image blocks according to the selected preferred compression method to obtain the preferred compressed data.
5. The apparatus of claim 4, wherein the compression module comprises:
the second compression unit is used for compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain a plurality of corresponding compressed data;
the first decoding unit is used for carrying out reverse decoding on the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data;
and a second selecting unit configured to select decoded data with a best image restoration quality from the plurality of types of decoded data, and to use compressed data corresponding to the selected decoded data as the preferred compressed data.
6. The apparatus of claim 5, wherein the compression module comprises:
the third compression unit is used for compressing each image block in the plurality of image blocks by adopting a plurality of compression methods to obtain a plurality of corresponding compressed data;
the second decoding unit is used for carrying out reverse decoding on the multiple kinds of compressed data by adopting a decoding method corresponding to the multiple kinds of compression methods to obtain corresponding multiple kinds of decoded data;
a third selection unit operable to select, from the plurality of kinds of decoded data, decoded data whose image restoration quality exceeds a first predetermined threshold;
a fourth selecting unit configured to select, from the decoded data whose image restoration quality exceeds the first predetermined threshold, decoded data whose compression ratio of corresponding compressed data exceeds a second predetermined threshold;
and the determining unit is used for determining the compressed data corresponding to the selected decoding data as the preferred compressed data.
7. A storage medium characterized by comprising a stored program, wherein the program executes the image compression method according to any one of claims 1 to 3.
8. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the image compression method according to any one of claims 1 to 3 when running.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117177079A (en) * | 2023-11-02 | 2023-12-05 | 珠海鸿芯科技有限公司 | Image synthesizing method, computer device and computer readable storage medium |
| CN117177079B (en) * | 2023-11-02 | 2024-03-01 | 珠海鸿芯科技有限公司 | Image synthesizing method, computer device and computer readable storage medium |
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| CN107103632A (en) | 2017-08-29 |
| CN107103632B (en) | 2021-08-06 |
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