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Large capacity image data real-time compressing apparatus and method based on multi-DSP parallel processing

A technology of image data and parallel processing, applied in the field of information processing, can solve the problem of large difference in processor cost

Inactive Publication Date: 2009-02-04
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the large base, the cost difference caused by the price difference of the processor is very large

Method used

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  • Large capacity image data real-time compressing apparatus and method based on multi-DSP parallel processing
  • Large capacity image data real-time compressing apparatus and method based on multi-DSP parallel processing
  • Large capacity image data real-time compressing apparatus and method based on multi-DSP parallel processing

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Embodiment Construction

[0035] Such as figure 1 Shown in is a block diagram of the overall structure of a large-capacity image data real-time compression device based on a multi-DSP parallel processing structure. The n-channel serial CCD data enters the FPGA in parallel through the LVDS (Low Voltage Differential Signaling) interface for timing conversion, and multiple parallel DSPs use EDMA (Extend Direct Memory Access) through two serial ports. Read two channels of camera data from FPGA and cache, compress and encode. The entire data compression system requires (int)((n+1) / 2) DSPs to process in parallel. The compressed code stream data is output to the FPGA through the serial port, and the FPGA re-buffers, frames, and outputs after timing conversion. The control device FPGA of the present invention completes the management of the data flow and the management of each DSP, and the image data output by the camera enters each DSP of the data compressor in parallel, and the FPGA basically does not proce...

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Abstract

The invention relates to the field of message processing, in particular to an equipment and a method for real-time compression for large-capability images and data based on the multi-digital signal processor (DSP) parallel processing. A multi-DSP parallel processing structure is adopted to complete the real-time compression for large-capability images and data; a field programmable gate array (FPGA) is chosen as a data-transformation element, and the DSP is used as a managing element according to the task allocation and data coupling mode; the image data output by a camera enter each DSP of a data compressor in parallel, and the FPGA is not processed basically. Code stream after being compressed by each DSP is output to the FPGA in parallel and is output serially after the FPGA makes parallel-serial conversion, so no coupling basically exists between every two DSPs. The equipment has the advantages of strong data processing ability, good parallel performance, high reliability and easy expansion. Besides being applied in a general occasion for real-time image compression, the equipment of the invent can be mainly applied in the occasions which have high image input-code speed for satellite remote sensing, high-altitude photography and the like and have special requirements in the aspects of the quality of reconstructing image, the reliability of the equipment, and the like.

Description

technical field [0001] The invention relates to the field of information processing, in particular to a real-time compression device and method for large-capacity image data based on multi-DSP parallel processing. Background technique [0002] For the real-time compression technology of large-capacity image data, due to the large amount of data and the complexity of the compression algorithm, hardware cooperation is required to improve the algorithm operation speed. The most widely used hardware implementations today include: [0003] (1) Multi-FPGA solution. [0004] That is, the image data is processed in parallel through multiple FPGAs (Field Programmable Gate Arrays). The advantage of this design is that it can better meet the requirements of the image compression algorithm, and there are some disadvantages as follows: [0005] a) Cost remains high. In many special applications, such as satellite remote sensing, high-altitude photography, etc., it is necessary to use ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26G06T1/00H04N19/42H04N19/436
Inventor 罗武胜鲁琴肖学敏杜列波胡冰王继东魏鹏杨建伟
Owner NAT UNIV OF DEFENSE TECH
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