A COMPARATIVE STUDY ON ADAPTIVE LIFTING BASED SCHEME AND INTERACTIVE ARTIFICIAL BEE COLONY ALGORITHM FOR IMAGE COMPRESSION

Genetic Algorithm can be seen as the most popular EA algorithm that is widely used for optimization problems [25, 26]. It begins with population of individuals generated

In this study, an artificial neural network method using the back-propagation algorithm was proposed for the prediction of ferric iron precipitation in uranium bioleaching

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

Some algorithms are proposed according to the characteristics of the image itself, such as Yuen’s proposal of a chaos-based joint image compression and encryption algorithm

Proposed by Dorigo in 1991, the ant colony algorithm is widely used in medical image segmentation because of its excellent clustering characteristics [12].. On the basis of

This paper proposes a method to embed data in Discrete Wavelet Transform coefficients using a mapping function based on Genetic Algorithm in 4x4 blocks on the cover image and,

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

In the next section, an iterative algorithm for total variation based image restoration is proposed, moreover we present a nonlocal regularization under the proposed algorithm