Analysis of Image Compression by Minimum Relative Entropy (MRE) and Restoration through Weighted Region Growing Techniques for Medical Images

[27] ASIR is a newer image reconstruction algorithm that reduces image noise by applying iterations between the raw data and image space, generating images of higher quality and

The entropy of the watermarked image and correlation coefficient of extracted watermark image is very close to ideal values, proving the correctness of proposed

Typical fingerprint recognition methods employ feature-based image matching, where minutiae (i.e., ridge ending and ridge bifurcation) are extracted from the registered

For an image compression technique, we have linked different wavelet techniques using traditional mother wavelets and lifting based Cohen-Daubechies-Feauveau wavelets

On the basis of compression ratio and MSE it has been find out that the best compression and reconstruction of the image can be done using HAAR wavelet transform. Ghatol

The images of these samples were observed for the transverse and inplane permeability, porosity, specific surface area, and tortuosity by using image analysis techniques [7],

Matrix trace inequalities, Tsallis relative entropy, Fannes’ inequality, variational expression and maxi- mum entropy principle..

Mostly, DWT[1,17] is applied on the whole image in conventional image compression methods, but in the contextual based coding, different thresholds are applied to the