Method for realizing image compression based on folding flow line wavelet transformation

A wavelet transform and image compression technology, applied in image communication, television, electrical components, etc., can solve the problems of low power consumption, few calculation steps, poor performance, etc., to improve power consumption and real-time processing capabilities, and improve load balancing conditions , the effect of reducing the number of registers

Inactive Publication Date: 2012-06-20
BEIHANG UNIV
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Problems solved by technology

Among them, the advantage of the 9/7 wavelet transform method is that the energy concentration of the wavelet transform and the PSNR (peak signal-to-noise ratio, the most commonly used objective evaluation index of image quality) of the restored image are relatively high, but its computational complexity is relatively high. VLSI It consumes more

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  • Method for realizing image compression based on folding flow line wavelet transformation
  • Method for realizing image compression based on folding flow line wavelet transformation
  • Method for realizing image compression based on folding flow line wavelet transformation

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Embodiment Construction

[0040] The implementation method of multiple wavelet transform unified architecture VSLI based on folded pipelines provided by the present invention is mainly aimed at multiple wavelet transforms that require more processing time, transformation performance and calculation power consumption, such as 9 / 7 and 5 / 3 based on lifting formats It is specially proposed for wavelet transform. Next, the specific implementation steps of the present invention will be described in detail by taking the 9 / 7 and 5 / 3 wavelet transform in image compression as an example. However, obviously, the method provided by the present invention can also be used for wavelet transform operations based on lifting formats on other types of data, and the beneficial effects obtained are also similar.

[0041] The calculation process of the wavelet transform lifting format is shown in 2. One iteration is divided into three steps: splitting, prediction and updating. The lifting format of the 9 / 7 wavelet transfor...

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Abstract

The invention provides a method for realizing image compression based on folding flow line wavelet transformation, and particularly relates to a technology based on folding flow lines. The folding flow lines adopt a uniform architecture very large scale integration (VLSI) for the transformation of various wavelets, so that the resource consumption is reduced by structuring the shortest iterative calculation path for wavelet transformation, and the hardware utilization efficiency is improved by simplifying improving steps and adopting a single-shot input structure. An experiment result shows that for the same image, if the structure and a traditional long flow line structure are adopted for an experiment, the method is more excellent in resource consumption and hardware utilization rate.

Description

technical field [0001] The present invention relates to a VLSI (Very Large Scale Integration, Very Large Scale Integrated Circuit) implementation method of a unified architecture applicable to multiple wavelet transforms, in particular to a folding pipeline technology, which reduces computing resources by constructing the shortest iterative computing path of wavelet transform consumption, and by simplifying the upgrading steps and adopting an injective input structure to improve hardware utilization efficiency, it belongs to the technical field of digital image processing. Background technique [0002] Wavelet transform has a wide range of applications in the fields of signal analysis and digital image processing because of its unique time-frequency localization characteristics. In the 1990s, scholars such as Sweldens and Daubechies proposed a fast calculation format for wavelet signal decomposition and reconstruction - the lifting scheme. The basic idea of ​​the lifting sc...

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Application Information

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IPC IPC(8): H04N7/26H04N7/50H04N19/436H04N19/63
Inventor 姜宏旭曹海恒李波
Owner BEIHANG UNIV
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