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Realizing Image Pseudo-color and Enhancement Using Retinex Methods Based on DSP Technology

Author: ZhuangZhiQiang
Tutor: WuHaiBin
School: Anhui University
Course: Optics
Keywords: DSP DM642 CCS Pseudo-color Retinex
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 217
Quote: 1
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Abstract


Digital signal processor (Digital Signal Processor, DSP) is a high performance CPU to achieve real-time processing of the signal processing and image using the digital computing method a professional chip for processing signals . Because of its flexibility, stability, good repeatability , high programming large scale integration and ease of real-time implementation , etc. , are widely used in many aspects of the radar , voice , communication , image processing , sonar , biomedical instruments , digital signal the processing of development has brought great opportunities , and signal processing means more flexibility , more complex functions . Subject to design a set of image processing DSP - based pseudo-color display system . Used in the system , the image processing module produced by TI's high-performance digital signal processor DM642 . Because the DM642 can parallel processing , calculation speed and cost advantages , to meet the real-time monitoring of the large amount of data processing and real-time requirements of higher demand . At the same time , we take advantage of the system , real-time enhancements Retinex image enhancement algorithm theory support related images in a short period of time . This article first introduces the subject of the current application background and research , and briefly introduced DSP functionality , features and technology , as well as in the CCS environment the DSP run in code optimization . Then DSP-based video image processing system hardware and software design methods , and to develop the image of the overall program of the pseudo- color processing , as well as the DSP - based Retinex image enhancement algorithm .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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