An image parallel compression device and method

Abstract

The invention relates to an image parallel compression device and method, which evenly divides image data into multiple blocks of 5, and sends a pixel of the mth image block to the m / 5th remainder receiving modules after the clock arrives; prediction The sensor module sends the original pixel value X and the predicted pixel value to the error calculation module; the error calculation module calculates the difference between the original pixel value X and the predicted pixel value and sends it to the quantization module; the quantization module calculates |R c -R b |+|R c -R a |, and quantize it and send it to the encoding module; the encoding module encodes the quantized value and sends it to the overflow processing module; the output processing module judges whether overflow occurs during the quantization process, and outputs the code if overflow does not occur; outputs the code if overflow occurs and overflow encoding. The pipeline-based remote sensing image parallel compression method proposed by the present invention has the characteristics of less hardware overhead and high processing rate, strong applicability, easy engineering implementation, stable and reliable, and the design method has obvious advantages in the application of the aerospace field.

Description

technical field [0001] The invention belongs to the technical field of satellite remote sensing, and relates to a parallel compression device and method based on flowing water. Background technique [0002] With the development of space-to-Earth observation technology, the amount of data to be transmitted on the satellite has increased sharply, which puts forward higher requirements for the compression ability of satellite images. Complicated algorithm implementation and limited hardware resources have become the main factors affecting the on-board compression processing capability. Static compression algorithms JEPG-LS, JPEG2000, especially complex video compression algorithms such as H.265 are even more critical to the processing capability of the hardware implementation. put forward higher requirements. [0003] At present, static image compression technologies used in the field of satellite remote sensing include JEPG-LS and JPEG2000. Due to the influence of the applica...

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Problems solved by technology

[0004] The problem solved by the technology of the present invention is: to overcome the insufficient processing capacity of the existing compression technology, and to provide a parallel compression technology for remote sensing images based on pipeline, which has extremely low computational complexity and uses very few resources while providing compression functions , strong processing ability

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