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JPEG image coding optimization method based on evolutionary computation

An image coding and optimization method technology, applied in the fields of evolutionary computing and JPEG coding optimization, can solve problems such as unclear user requirements and distortion, and achieve the effect of improving coding efficiency and improving coding efficiency.

Active Publication Date: 2022-02-25
ANHUI UNIVERSITY
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Problems solved by technology

[0003] In actual coding applications, the needs of users are not clear, or the needs are diverse. For example, when a smartphone takes a picture, it needs to generate both a high-quality version for local storage and a low-quality version for network transmission. , for this application scenario, it is necessary to generate images with different bit rates at the same time, and distortion will occur in the process. Therefore, a JPEG image coding optimization method based on evolutionary calculation is now provided

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  • JPEG image coding optimization method based on evolutionary computation
  • JPEG image coding optimization method based on evolutionary computation
  • JPEG image coding optimization method based on evolutionary computation

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[0039] At present, JPEG image coding optimization methods are mainly divided into the following categories:

[0040] The first category: quantization table optimization based on rate-distortion optimization. Image compression can be seen as a resource allocation problem, which is expressed as how to get the minimum distortion within the range of bit rate constraints, and a search strategy is used to explore the best quantization table according to the bit rate and distortion model. It is also possible to convert the problem of solving 64 quantization steps in the quantization table into a dynamic programming problem of 64 stages, and use the method of dynamic programming to solve it.

[0041] The second category: Quantization table optimization based on human visual characteristics. The design of the JPEG default quantization table is based on the principle that human vision is more sensitive to low-frequency signals than high-frequency signals. The visual model of is used i...

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Abstract

The invention discloses a JPEG image coding optimization method based on evolutionary computation, relates to the technical field of evolutionary computation and JPEG coding optimization, optimizes a quantization table of JPEG from the perspective of evolutionary computation, and researches a multifunctional image coding optimization technology based on multi-objective optimization aiming at code rate multifunctional requirements in image coding. The coding efficiency is improved, various code rate requirements of a user are met, an optimal quantization table can be effectively found by performing multi-target modeling on an image coding problem, designing an evolutionary operator conforming to a rate distortion optimal principle and an environment selection strategy, so that the coding efficiency of an image can be improved by more than 10%, and meanwhile, a plurality of groups of quantization tables generated in the optimization process can effectively deal with the uncertainty problem in image compression coding.

Description

technical field [0001] The invention relates to the technical field of evolutionary calculation and JPEG encoding optimization, in particular to an evolutionary calculation-based JPEG image encoding optimization method. Background technique [0002] With the popularization of smart phones, the amount of digital image data in life and work has increased dramatically. These massive image data have brought great challenges to disk storage and network transmission. Image compression coding technology can guarantee image quality. In order to reduce the amount of image data, the JPEG standard is the most used image compression coding technology at present, and the JPEG standard is still in the dominant position in the image application field. Therefore, optimizing the coding efficiency of JPEG has broad economic value and application prospects. [0003] In actual coding applications, the needs of users are not clear, or the needs are diverse. For example, when a smartphone takes a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/124H04N19/186H04N19/42H04N19/625
CPCH04N19/186H04N19/124H04N19/625H04N19/42Y02T10/40
Inventor 王啟军刘萍
Owner ANHUI UNIVERSITY
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