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http://dx.doi.org/10.7742/jksr.2019.13.4.509

Image Compression by Linear and Nonlinear Transformation of Computed Tomography  

Park, Jae-Hong (Department Radiological Technology, Choonhae College of Health Science)
Yoo, Ju-Yeon (Ocean ICT & Advanced Materials Technology Research Division)
Publication Information
Journal of the Korean Society of Radiology / v.13, no.4, 2019 , pp. 509-516 More about this Journal
Abstract
In the linear transformation method, the original image is divided into a plurality of range blocks, and a partial transform system for finding an optimal domain block existing in the image for each range block is used to adjust the performance of the compression ratio and the picture quality, The nonlinear transformation method uses only the rotation transformation among eight shuffle transforms. Since the search is performed only in the limited domain block, the coding time is faster than the linear transformation method of searching the domain block for any block in the image, Since the optimal domain block for the range block can not be selected in the image, the performance may be lower than other methods. Therefore, the nonlinear transformation method improves the performance by increasing the approximation degree of the brightness coefficient conversion instead of selecting the optimal domain block, The smaller the size of the block, the higher the PSNR value, The higher the compression ratio is increased groups were quadtree block divided to encode the image at best.
Keywords
Fractal; Linear & Nonlinear transformation; PSNR;
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Times Cited By KSCI : 4  (Citation Analysis)
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