Low-bit-rate image compression method based on intelligent quantization technology

A technology of image compression and low bit rate, which is applied in the field of image coding and can solve problems such as single coding mode

CN106559668AActive Publication Date: 2017-04-05UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2017-04-05

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Abstract

The invention provides a low-bit-rate image compression method based on intelligent quantization technology. On the premise of low-bit-rate compression, the coding is carried out by means of the intelligent quantization technology for the internally smoothing image blocks, and the reconstruction is carried out through the combination with the interpolation technology, on the premise of controlling the coding distortion, the coding rate is effectively reduced; and meanwhile, for the image blocks having complex internal textures, a conventional coding method based on the JPEG image compression standard is adopted to guarantee the efficient coding of the image blocks. The efficient coding of the whole image can be realized by adaptively selecting different coding strategies for image blocks with different texture features. Compared with a conventional JPEG image compression method, the low-bit-rate image compression method can overcome the defect of single coding mode in the conventional JPEG image compression method.
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Description

technical field

[0001] The invention belongs to the field of image coding, and mainly relates to digital image compression technology. Background technique

[0002] Low bit rate image compression is often used in video surveillance, video telephony, satellite remote sensing image transmission and other scenarios. With the wide application of wireless communication networks, people have higher and higher requirements for real-time image transmission under limited bandwidth, and efficient low-bit-rate image compression technology can meet the needs of real-time image transmission under low bandwidth conditions.

[0003] Image compression methods can be divided into two categories: lossless compression and lossy compression. Commonly used compression algorithms implement lossy compression of image signals through several core technologies such as transformation, quantization, and entropy coding. In order to achieve efficient low-bit-rate image compression, the traditional meth...

Examples

Embodiment Construction

[0058] The present invention mainly adopts the mode of simulation experiment to verify the feasibility of the system model, and all steps have been verified by experiment. In order to realize the image compression based on the transform domain down-sampling technology, the specific implementation steps are as follows:

[0059] Step 1, image preprocessing

[0060] Set image width W=8 m , the image height H=8 n , where m and n are all natural numbers, divided into N=(W×H) / 8 according to the method of image segmentation in the traditional JPEG image compression standard 2 A non-overlapping square image block with a size of 8×8, denoted as B 1 , B 2 ,...,B i ,...,B N , here, W represents the width of the image, H represents the height of the image, N represents the total number of image blocks after the image is divided, i represents the index of the image block, i∈{1,2,...,N};

[0061] Step 2, generation of index matrix

[0062] Arrange 64 natural numbers 1, 2, ..., 64 col...