Lossless predictive compression of medical images

Serbian Journal of Electrical Engineering

Avramović Aleksej¹  Savić Slavica¹ 

[1] Faculty of Electrical Engineering, University of Banja Luka, Banja Luka, Bosnia and Herzegovina%SR91-09;

关键词: medical imaging;    digital image processing;    lossless image compression;    prediction;   

DOI  :  10.2298/SJEE1101027A

来源: DOAJ

【 摘 要 】

Among the many categories of images that require lossless compression, medical images can be indicated as one of the most important category. Medical image compression with loss impairs of diagnostic value, therefore, there are often legal restrictions on the image compression with losses. Among the common approaches to medical image compression we can distinguish the transformation-based and prediction-based approaches. This paper presents algorithms for the prediction based on the edge detection and estimation of local gradient. Also, a novel prediction algorithm based on advantages of standardized median predictor and gradient predictor is presented and analyzed. Removed redundancy estimation was done by comparing entropies of the medical image after prediction.

【 授权许可】

Unknown