The present contribution proposes a new remarkably eecient image compression algorithm for graylevel images based on dyadic wavelet transformation. In order to achieve perfect reconstruction, orthogonal decomposition is applied. Scalar quantization of wavelet coeecients is combined with run-length coding. Code word assignment is performed by semi-adaptive Huuman coding (determined by validity t...

It is not an overstatement to say that statistics is based on various transformations of data. Basic statistical summaries such as the sample mean, variance, z-scores, histograms, etc., are all transformed data. Some more advanced summaries, such as principal components, periodograms, empirical characteristic functions, etc., are also examples of transformed data. To give a just coverage of tra...

background: mammography is the primary imaging technique for detection and diagnosis of breast cancer; however, the contrast of a mammogram image is often poor, especially for dense and glandular tissues. in these cases the radiologist may miss some diagnostically important microcalcifications. in order to improve diagnosis of cancer correctly, image enhancement technology is often used to enha...