Digital medical image compression algorithm using adaptive Huffman coding and graph based quantization based on IWT-SVD

Author(s):  
Putu Ayu Indira Savitri ◽  
Adiwijaya ◽  
Danang Triantoro Murdiansyah ◽  
Widi Astuti

Modern radiology techniques provide crucial medical information for radiologists to diagnose diseases and determine appropriate treatments. Hence dealing with medical image compression needs to compromise on good perceptual quality (i.e. diagnostically lossless) and high compression rate. The objective also includes finding out an optimum algorithm for medical image compression algorithm. The objective is also focused towards the selection of the developed image compression algorithm, which do not change the characterization behavior of the image.


2014 ◽  
Vol 602-605 ◽  
pp. 3114-3118
Author(s):  
Qiang Yang ◽  
Hua Jun Wang ◽  
Xue Gang Luo

Medical image compression technology has great significance in the field of medical image engineering and clinical application. The current image compression technology is mainly for gray image, Few people study on medical image color compression algorithm. This paper presents a compression algorithm for color image based on DCT. First, the algorithm change the color medical image of RGB space to SAT space, this transformation ensures the medical image without distortion, and effectively reduce the mean image of each dimension of component. Then, the algorithm make the DCT transform for color image compression in the SAT space. Experimental shows that the improved algorithm in color medical image compression has achieved good results.


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