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Method and device for qrasi-energy convervation change in vide frequency image cornpression

An energy conservation and image compression technology, applied in image communication, digital video signal modification, television, etc., can solve the problems of increased computational complexity, storage complexity of encoding and decoding equipment, and incomplete data normalization processing, etc. Effects of Computational Complexity

Active Publication Date: 2005-03-02
XFUSION DIGITAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the kernel vector of ICT is not normalized, ICT must be combined with normalization to ensure energy conservation
When the modulus of each kernel vector of ICT, that is, the sum of the squares of each coefficient in the kernel vector, is not exactly the same, the normalization processing of data at different positions of the data block participating in ICT is not exactly the same, resulting in computational complexity and codec The storage complexity of the device is relatively increased

Method used

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  • Method and device for qrasi-energy convervation change in vide frequency image cornpression
  • Method and device for qrasi-energy convervation change in vide frequency image cornpression
  • Method and device for qrasi-energy convervation change in vide frequency image cornpression

Examples

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Embodiment 1

[0049] This implementation example provides a scheme of combining the transformation method of the present invention with the current quantization method in video or image coding.

[0050] attached image 3 Shown is a forward transformation device applied to a quasi-energy conservation transformation method for video or image compression, including a transformation device 1 and a normalization processing device 3 .

[0051] x 4×4 Input the transformation device 1, do the following matrix multiplication processing, and get Y 4×4 ',

[0052] Y 4 × 4 ′ = 6 6 6 6 8 3 - 3 ...

Embodiment 2

[0063] attached image 3 Shown is a forward transformation device applied to a quasi-energy conservation transformation method for video or image compression, including a transformation device 1 and a normalization processing device 3 .

[0064] x 4×4 Input the transformation device 1, do the following matrix multiplication processing, and get Y 4×4 ',

[0065] Y 4 × 4 ′ = 7 7 7 7 9 4 - 4 - 9 7 - 7 ...

Embodiment 3

[0076] attached image 3 Shown is a forward transformation device applied to a quasi-energy conservation transformation method for video or image compression, including a transformation device 1 and a normalization processing device 3 .

[0077] x 4×4 Input the transformation device 1, do the following matrix multiplication processing, and get Z 4×4 ,

[0078] Z 4 × 4 = 7 7 7 7 9 4 - 4 - 9 7 - 7 - ...

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Abstract

This invention discloses a quasi-energy conservation and transformation method and the device used in video or image compact by applying two-dimension transformation of not accurate energy conservation, data of different positions adopt a same orthonormalization process to reduce computation complexity and storage complexity for a code / decode device, which is not only used in video or image code / decode field but also used in other signal processes.

Description

technical field [0001] The present invention relates to an electrical digital data processing technology, in particular, to a method and device for quasi-energy conservation transformation applied to video or image compression. Background technique [0002] Traditional video coding standards such as H.261, H.263, H.26L, and H.264 standards formulated by the International Telecommunication Union ITU and MEPG-1, MPEG-2, and MPEG formulated by the International Organization for Standardization ISO's Motion Picture Experts Organization MPEG -4 and so on are based on the Hybrid Coding framework. The so-called hybrid coding framework is a coding framework that comprehensively considers prediction, transformation and entropy coding methods, and has the following main features: 1. Use prediction to remove redundancy in the time domain; 2. Use transformation to remove redundancy in the space domain; 3. Statistical redundancy is removed by entropy coding. [0003] The above-mentione...

Claims

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Application Information

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IPC IPC(8): H04N19/122H04N19/60
Inventor 虞露董洁楼剑张赐勋
Owner XFUSION DIGITAL TECH CO LTD
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