JPEG (joint photographic experts group)_LS (laser system) general coding hardware implementation method

Abstract

The invention discloses a JPEG (joint photographic experts group)_ LS (laser system) general coding hardware implementation method, and is mainly used for solving the problems that the existing JPEG is coded, the parameter update and error value computational structure is complicated, and the treatment rate is slow. The implementation method comprises the following steps of: adopting a four level backfeed loop, updating and feeding back the parameter update value in real time, predicting error values by utilizing first two point error corrected parameter value of the existing pixel point, and simplifying an error value computational process by utilizing a two-step prediction; carrying out next calculation on the prediction result after obtaining a prediction result in the first step, rationally arranging data processing quantity of each level, and updating and simultaneously carrying out error prediction to finally obtain a Columbus parameter so as to carry out Columbus coding, and outputting compressed code current. The implementation method provided by the invention has the advantages of rapid processing speed, less occupation resource, is simple and easy to operate, and is easy to realize FPGA (Field Programmable Gata Array).

Description

technical field [0001] The present invention relates to the technical field of image processing, and further relates to a high-efficiency and low-resource conventional encoding hardware implementation method in a JPEG_LS (Joint Photographic Experts Group-loSSleSS) image compression system. The invention completes the image compression processing with a full pipeline structure, can optimize the JPEG_LS conventional encoding hardware implementation structure, improve the image processing rate, save hardware resources of field programmable gate arrays, and is especially suitable for remote sensing image compression processing. Background technique [0002] The JPEG_LS image compression method is widely used in the field of image compression. Because the parameters in its conventional encoding need to be updated in real time, the error value calculated by the current pixel point needs to be used when updating, and the updated prediction error correction parameter needs to be used...

AI Technical Summary

Problems solved by technology

The shortcomings of this patent application are: only the quantization and merging parts are optimized, the processing structure of the calculation error and update parameter part is complex, and a large amount of data to be processed is accumulated after updating the parameters, resulting in slow processing speed, and the method It is specially applied to medical image compression, and does not involve compression processing methods such as remote sensing images.

The deficiencies of this patent application are: it only involves the optimized implementation of JPEG_LS compression code rate control, adopts the sequential execution method, and calculates the error value after obtaining the updated parameters. The processing process consumes a lot of clock cycles, and does not arrange each The amount of data processed in a clock cycle, resulting in too much data in a single clock cycle, resulting in the worst path, resulting in a slow processing rate

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