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An Efficient Image Compression Method Based on Spatial Downsampling Mode

An image compression, image technology, applied in the field of image processing, can solve problems such as single coding mode

Active Publication Date: 2017-10-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the traditional JPEG image compression method, the present invention provides two encoding modes, which can overcome the single disadvantage of the encoding mode in the traditional JPEG image compression method

Method used

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  • An Efficient Image Compression Method Based on Spatial Downsampling Mode
  • An Efficient Image Compression Method Based on Spatial Downsampling Mode
  • An Efficient Image Compression Method Based on Spatial Downsampling Mode

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Embodiment Construction

[0098] 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:

[0099] Step 1, image preprocessing

[0100] Set image width W=16 m , the image height H=16 n , where m and n are both natural numbers, divided into N=(W×H) / 16 according to the image block method in the traditional JPEG image compression standard 2 A non-overlapping square image block with a size of 16×16, denoted as B 1 , B 2 ,...,B i ,...,B N , here, N represents the total number of image blocks after image division, i represents the index of the image block, i∈{1, 2,..., N};

[0101] Step 2, downsampling of image blocks

[0102] First, define a downsampled image block with a size of 8×8 as B' i ; Here, i represents the index of the image block, i ∈ {1...

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Abstract

The present invention provides an image compression method based on the spatial domain subsampling technology, which uses a method based on the spatial domain subsampling to encode the relatively smooth image macroblocks inside, and then uses the interpolation technology to reconstruct, so as to ensure the fidelity of the encoding Under the premise of high degree of accuracy, the coding rate is greatly reduced; at the same time, for image macroblocks with complex internal textures, the traditional coding method based on JPEG image compression standards is used to ensure high-efficiency coding of image macroblocks. Traditional image compression methods ignore the differences in features between different regions within the image, so they cannot effectively remove the correlation between pixels, resulting in low overall coding efficiency. The present invention implements different coding strategies for image macroblocks with different characteristics in a differentiated manner, and realizes high-efficiency coding of the entire image.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to the coding technology of digital images. Background technique [0002] With the advent of the big data information age, multimedia signals are becoming the main body of information storage and dissemination, playing an extremely important role in promoting the national economy, ensuring social security, and disseminating advanced culture. As a common carrier of multimedia signals, image data is widely used in people's daily life. Image information contains rich content, but it occupies a large storage space, especially in today's era of increasing demand for high-resolution images. Therefore, how to compress image signals to save storage space has become an urgent problem to be solved . At the same time, with the development of the Internet, higher requirements have been put forward for the compression of image data in the transmission of image information. [0003]...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/176H04N19/132H04N19/103H04N19/147
Inventor 朱树元曾兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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