scholarly journals Effects of Compression Algorithms and Identification of Cancer cell using CT Coronel View Lung Image

2019 ◽  
Vol 8 (6) ◽  
pp. 103-105
Keyword(s):  
Image Compression ◽  
Medical Image ◽  
Medical Information ◽  
Compression Algorithm ◽  
Perceptual Quality ◽  
Medical Image Compression ◽  
Compression Algorithms ◽  
Optimum Algorithm ◽  
Image Compression Algorithm ◽  
Selection Of

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.

An Improved Algorithm for Color Medical Image Compression Based on DCT

2014 ◽  
Vol 602-605 ◽  
pp. 3114-3118
Author(s):  
Qiang Yang ◽  
Hua Jun Wang ◽  
Xue Gang Luo
Keyword(s):  
Image Compression ◽  
Medical Image ◽  
Color Image ◽  
Compression Algorithm ◽  
Medical Image Compression ◽  
Current Image ◽  
Dct Transform ◽  
The Mean ◽  
Color Image Compression ◽  
Improved Algorithm

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.

An Improved Image Compression Algorithm Based on Block and Classification Scheme

2014 ◽  
Vol 711 ◽  
pp. 282-285
Author(s):  
Chun Ming Wu ◽  
Lang Fang Su ◽  
Tao Yang
Keyword(s):  
Image Compression ◽  
Prior Information ◽  
Classification Scheme ◽  
Signal To Noise Ratio ◽  
Image Features ◽  
Signal To Noise ◽  
Compression Algorithms ◽  
Compression Performance ◽  
Image Compression Algorithm ◽  
Selection Of

To improve compression performance, and realize the automatic selection of compression algorithms in processing images without the prior information, the regularity relationship between compression algorithms and image features is studied, and a preprocessing scheme of block and classification based on image features has been proposed in this paper. Compression algorithms pre and post preprocessing scheme are investigated for the same 100 images. Our scheme achieves the larger peak signal to noise ratio (PSNR), which demonstrates the effectiveness of the proposed preprocessing scheme of block and classification in improving compression performance and selecting suitable algorithm to process image without the prior information.

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