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Lossless Image Compression Based on Layered Coding with Sequency Interpolation, and Its Implementation on DSP

Author: FangXu
Tutor: HouZhengXin
School: Tianjin University
Course: Signal and Information Processing
Keywords: Lossless image compression Sub-sampling Interpolation Overlapping digital filter DM642
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 50
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Lossless image compression means in the encoding process only to remove the redundancy of the image , the image information must be guaranteed not to be lost , which can complete the reconstruction of the original image . Mainly used for the image for further processing , repeated compression / decompression , image acquisition expensive , or unknown , and other areas of image quality requirements , such as medical images , remote sensing image , image archiving , high-precision image analysis . Efficient, real - time image lossless compression technology has been one goal . Therefore, research -based embedded DSP efficient lossless compression method has important theoretical significance and practical value . This thesis, based on layered coding techniques lossless compression column rate interpolation and its implementation of DSP development platform , first introduced of overlapping digital filter and how to construct a the IDCT two-dimensional overlap digital filter , studied how the image to be sub-sampled , and how the sampling data after interpolation resuming given realization of the process of the lossless compression-encoding . Studied on the basis of the image interpolation resuming selects the IDCT low pass finite filter template as the interpolation is determined from the complexity of the compression rate and the operation on the image extracted best extraction layers and layers residuals and top - level data encoding method , experiments to determine the six layer extracted image , residuals , and top-level data using adaptive arithmetic coding , and gave details of the implementation process of adaptive arithmetic coding . VC6.0 environment , the preparation of the C language program , this algorithm gives lossless image compression , bit rate for lossless compression of the classic test image , and the use of layered transmission , the transfer of residual layers and its corresponding restore the relationship between the image quality . Finally , the complete implementation of the algorithm in the DSP development platform . In this system selected TI's TMS320DM642DSP, and transplanted to a program written in DSP platform , and the design of the image acquisition drive module and display module , the entire algorithm can achieve complete DSP platform . Combined C64xDSP hardware features to improve the running speed of the program , a series of optimization .

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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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