Application of Haar Wavelets on Medical Images

Abstract

Recently, the information processing approaches are increased. These methods can be used for several purposes: compressing, restoring, and information encoding. The raw data are less presented and are gradually replaced by others formats in terms of space or speed of access. This paper is interested in compression, precisely, the image compression using the Haar wavelets. The latter allows the application of compression at several levels. The subject is to analyze the compression levels to find the optimal level. This study is conducted on medical images.

Research of the Optimal Level of Compression by Using Haar Wavelet and Recognition System

“…Haar wavelet is a compressing algorithm that applies in several levels. At each level, he divides an input image (original image) into four parts (sub-images) [6]; one part contains the compressed image, and the other parts contain detail coefficients for the decompression process. The principle of Haar wavelet algorithm is described in Figure 1.…”

“…The problem of the size is resolved by using the segmentation processing. R. El Ayachi and al [6] have adopted the segmentation method as criteria to detect the optimal level of compression in which the number of the regions of the compressed image is still the same  The second focuses on the minimum size of a segment, because successive compressions can produce a segment containing a single pixel, so what is the minimum size of a segment?…”