5/3 wavelet transformation method based on HyperX platform

A wavelet transform and platform technology, which is applied in the field of realizing 5/3 wavelet transform based on the multi-core processor HyperX platform, can solve the problems of high development difficulty, slow data reading speed, and high power consumption, and achieves low development difficulty and high power consumption. The effect of data reading speed and low power consumption

Active Publication Date: 2016-01-20
XIDIAN UNIV
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Problems solved by technology

However, the shortcomings of this patented technology are that the data is read from the memory in blocks, and frequent address jumps cause the speed of data reading to slow down, and the use of a graphics processing unit GPU to implement wavelet transform is difficult to develop and consumes less power. Big

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  • 5/3 wavelet transformation method based on HyperX platform
  • 5/3 wavelet transformation method based on HyperX platform
  • 5/3 wavelet transformation method based on HyperX platform

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Embodiment Construction

[0060] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0061] Refer to attached figure 1 , the implementation steps of the present invention are described in detail.

[0062] Step 1, convert the format of the original image.

[0063] Select an original image with a suffix of .png format from the image collection, and convert the original image into a file with a suffix of .txt format.

[0064] Two pieces of global memory A and B are allocated in the double-rate synchronous dynamic random access memory DDR.

[0065] Copy the original image data in the file with the suffix .txt to the global memory A.

[0066] Step 2, read data by row.

[0067] On the data reading unit of the multi-core processor HyperX platform, create two arrays C and initialize them to 0.

[0068] The data reading unit of the multi-core processor HyperX platform uses the function MPX_DDR2_Read to sequentially read a row of data from the global memo...

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Abstract

A 5/3 wavelet transformation method based on a multi-core processor HyperX platform is disclosed. The method comprises the following steps of converting an original image format; reading data according to rows; sending a data segment after left and right edge expansion; determining whether a data block is received for the first time; determining whether a receiving row number is 34; determining whether the receiving row number is 32; forming the data block; expanding upper and lower edges; carrying out 5/3 wavelet transformation; sending data to a receiving unit; writing into global memory according to rows; determining whether all the image data blocks are written into the global memory; and copying data in the global memory into a host hard disk. Through a data expansion edge of a prestored image block, repeated data transmission is reduced; through reading original data according to rows, address jumping is reduced and a reading speed is increased; through carrying out 5/3 wavelet transformation on the image block, an access speed of data is increased and image data repetition and global memory interaction are avoided.

Description

technical field [0001] The present invention relates to the technical field of image processing, and further relates to a method for realizing 5 / 3 wavelet transform based on a multi-core processor HyperX platform in the technical field of image compression. The invention utilizes the unique communication mode and highly parallel processing architecture of the multi-core processor HyperX platform to realize 5 / 3 wavelet transform in parallel and low power consumption, which solves the problems of slow wavelet transform speed, high development difficulty, and high power consumption. It can be used in the fields of image compression coding for various digital devices and network transmission of video data. Background technique [0002] Wavelet transform has been widely used in signal analysis, image processing, pattern recognition, medical imaging and diagnosis, digital watermarking and other fields, especially in image compression algorithms. Both the JPEG2000 image compressio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/20G06T1/60
Inventor 张静刘金花李云松李珊珊江冰梁晨涛
Owner XIDIAN UNIV
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