{"product_id":"contextual-compression-of-ultrasound-medical-images-von-rahul-kher-und-r-s-anand","title":"Contextual Compression of Ultrasound Medical Images","description":"\u003cp\u003eMedical image compression addresses the issues of larger storage and faster   transmission requirements. Contextual compression of Ultrasound (US) medical images  aims at compressing the diagnostically important region, region of interest (RoI), of an  image with supreme quality as compared to rather unimportant area i.e. the background.  Thus, the RoI area is compressed with less compression ratio and the background with the  highest possible compression ratio in order to get better overall compression performance.   As a part of contextual compression technique four compression algorithms viz.  JPEG coding, Wavelet Transform coding, JPEG 2000 coding and the SPIHT coding  algorithms have been implemented in the present work. These algorithms have been  implemented using MATLAB, Image Processing and Wavelet toolbox, in particular. A  detailed analysis on the basis of parameters like mean square error (MSE), peak signal to  noise ratio (PSNR) and correlation coefficient (CoC) has been carried out to evaluate these  algorithms.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783846504383\"\u003e\u003ch3\u003eComparative Analysis of Various Image Compression Techniques\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783846504383","offer_id":39494587580509,"sku":"9783846504383","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/93e0ec79-e601-4685-8101-c896a6342f8f.jpg?v=1769666701","url":"https:\/\/shop.autorenwelt.de\/products\/contextual-compression-of-ultrasound-medical-images-von-rahul-kher-und-r-s-anand","provider":"Autorenwelt Shop","version":"1.0","type":"link"}