High-speed JPEG image compression method based on TMS320C6678 chip

Abstract

The invention belongs to the technical field of image processing and discloses a high-speed JPEG image compression method based on the TMS320C6678 chip. The method comprises the following steps: reading a to-be-compressed image; continuously dividing the data of the to-be-compressed image into 8 segments of data blocks along the distance direction in a non overlapping manner, scanning the respective data blocks by the 8 processing cores of the TMS320C6678 chip at the same time to accomplish image blocking; performing DCT transformation on the blocks; determining correction quantization tables corresponding to the blocks, and quantifying the blocks by using the correction quantization tables; performing Huffman entropy encoding on the quantized blocks; and determining marking code according to the JPEG standard and the format of the to-be-compressed image, and forming bit streams through the marking codes and the encoded data of the blocks. By adoption of the high-speed JPEG image compression method, the data redundancy can be reduced, the processing time of image compression can be shortened, and high-speed JPEG image real-time compression is realized.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a high-speed JPEG (Joint Photographic Expert Group, Joint Photographic Expert Group) image compression method based on a TMS320C6678 chip, which can be applied to high-speed JPEG image compression processing of large-scale radar echo data. Background technique [0002] Efficiency and real-time performance are the two main issues in computer processing of image information, so how to quickly store and transmit images on the premise of ensuring image quality has become the key to the problem. Image compression technology emerges as the times require. Image compression technology reduces the amount of data represented by images by removing redundant information in image data, thereby storing and transmitting image data in a more efficient format to meet the high efficiency and real-time requirements of image processing. sex. [0003] In the existing image compression techn...

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Problems solved by technology

[0007] However, there are differences between image blocks and blocks. If the existing standard quantization table is used to uniformly quantize each sub-block, there will be the following problems: some sub-blocks have more details, more high-frequency components, and low-frequency components. less, if the high-frequency components are quantized with a larger quantization step size according to the existing standard quantization table, the loss of the high-frequency components of the image will be large, resulting in a decline in compression quality; some sub-blocks have less details, There are few low-frequency components and many high-frequency components. If the low-frequency components are quantized with a smaller quantization step size according to the existing standard quantization table, the data redundancy will be large and the compression efficiency will be reduced.

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