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Image processing method and device

An image processing and image data technology, applied in image communication, digital video signal modification, electrical components, etc., can solve problems affecting JPEG image compression performance, etc., to achieve the effect of improving performance

Inactive Publication Date: 2022-02-18
HUAWEI TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the process of decoding a JPEG image into an RGB image, more irrelevant information will be added to the image, thus affecting the performance of JPEG image compression

Method used

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Embodiment Construction

[0084] The embodiment of the present application provides an image compression method, which is used for JPEG image compression. Quantization coefficients are obtained by performing Huffman decoding on the image, and the entropy estimation of the quantization coefficients is performed to obtain a probability model, and then the bytes obtained by decoding the image The data and the probability model are re-encoded to obtain an image that occupies less storage space than the JPEG image before compression, which improves the performance of JPEG image compression.

[0085] The following will describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts...

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Abstract

The invention relates to artificial intelligence and image compression technologies, and discloses an image processing method used for image compression and decompression. The method provided by the embodiment of the invention comprises the following steps: performing Huffman decoding on first JPEG image data to obtain a quantization coefficient; performing entropy estimation on the quantization coefficient to obtain an entropy estimation result, wherein the entropy estimation result is used for carrying out probability estimation on the quantization coefficient; and performing arithmetic coding on the quantization coefficient and the entropy estimation result to obtain first compressed data, wherein the storage space occupied by the first compressed data is smaller than the storage space occupied by the first JPEG image data. In the embodiment of the invention, after the first JPEG image data is subjected to Huffman decoding to obtain the quantization coefficient, the first compressed data is obtained, and in the process, the first JPEG image data does not need to be converted into an RGB image for entropy estimation, so that irrelevant information is reduced, and the JPEG image compression performance is improved.

Description

technical field [0001] The embodiments of the present application relate to the fields of artificial intelligence and image compression, and in particular to an image compression method and device thereof. Background technique [0002] With the advent of the information age, a large amount of image data is also coming. Due to the huge amount of image data, it is very difficult to store, transmit and process, so image data compression is very important. [0003] Image compression refers to representing the original image with relatively less bit data. The purpose of data compression is to reduce the number of bits required to represent data by removing data redundancy. JPEG image is currently the most widely used image encoding format. In the traditional compression method of JPEG image, it is necessary to decode JPEG image into RGB image and then perform related compression process. [0004] In the process of decoding a JPEG image into an RGB image, more irrelevant inform...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/124H04N19/13H04N19/42
CPCH04N19/124H04N19/13H04N19/42
Inventor 王晶白博冯义晖
Owner HUAWEI TECH CO LTD
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