Gray Scale Image Compression Based on Wavelet Transform and Linear Prediction

In our paper, we proposed a method of invisible watermark to medical image using Biorthogonal wavelet filter and transformed domain watermark embedding.. Generally

The present paper proposes a novel approach for noise removal cum edge detection for both gray scale and binary images using morphological operations.. Two images consisting of

They provided an insight of optimization techniques including Ant Colony Optimization (ACO) algorithm, Harfmony Search Algorithm (HSA), Artificial Bee Colony (ABC)

when using the wavelet transform analysis Toolbox.. Figure 3: Treatment of the images of the bacterium Str. clavuligerus: a) Grey-scale image; b) Binary image after thresholding;

Suitable threshold values calculated by the threshold evaluation procedure for different test images are given in Table 2.The results of edge detections for these test images

The high-resolution SPOT panchromatic (SPOT-PAN) images and multispectral SPOT (SPOT-XS) images are fused using the conventional techniques and the wavelet

Furthermore, compared to classic dictionary compression (such as the one used in zip and gzip formats), the dictionary sizes can be and usually are much larger, taking advantage

Picture Source: science, medical and technical images 9 ; MedPix  : Medical Image Database 15 ;. Images from the History of