Image compression method based on FPGA

Abstract

An image compression method based on an FPGA (Field Programmable Gate Array) is carried out on the FPGA and comprises the following steps: calculating the number m of layers of wavelet transform according to the size of an image, and carrying out m layers of wavelet transform on the image; Obtaining a scanning sequence list of all pixel points in the image according to the layer number m of wavelet transform; Obtaining the number of coding layers for coding the image pixel points according to the maximum value of the absolute values of the values of all the pixel points in the image after wavelet transformation, and obtaining a coded pixel coefficient importance list and a pixel subset importance list according to the number of coding layers; And according to the scanning sequence list, the pixel coefficient importance list and the pixel subset importance list, carrying out classification coding on pixel points of the image, carrying out fault-tolerant control coding, and splicing a classification coding result and the fault-tolerant control coding to compress the image. According to the method, the problem that traditional dynamic link table coding is not easy to realize in the FPGA is solved, the advantages of SPIHT image compression are continued, and the fault tolerance during image compression is improved.

Description

technical field [0001] The invention relates to the field of digital signal processing, in particular to an image compression method based on FPGA. Background technique [0002] Wavelet transform is a kind of transform coding. Because wavelet transform can effectively extract the content of images, it is widely used in image coding. With the development of image coding technology based on wavelet transform, embedded wavelet zero tree image coding (EWZ) technology, hierarchical wavelet tree set segmentation (SPIHT) technology and JPEG2000 technology have appeared one after another, image compression technology based on wavelet transform is considered It is one of the most promising image compression technologies at present. [0003] SPIHT and JPEG2000 technologies are currently two relatively mature technologies. In 2000, JPEG2000 was identified as a new generation coding standard for static images, and achieved better image compression effects. The set segmentation techno...

AI Technical Summary

Problems solved by technology

Although the effect of JPEG2000 technology is slightly better than that of SPIHT, the complexity of JPEG2000 technology is higher than that of SPIHT: JPEG2000 requires additional code rate control, while in SPIHT, the part beyond the encoding can be directly discarded without additional control modules, but The fault tolerance in the transmission is not high, a sudden error may affect the image decompression quality on a large scale, and the traditional dynamic linked list coding is not easy to implement in the field programmable gate array (Field-Programmable Gate Array, FPGA)

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