Image Reconstruction Using Wavelet Transforms and Curve Let Transform

Abstract

Digital signal processing relies heavily on linear transformations and expansions. Compression and denoising are two examples of signal processing applications where the wavelet transform has since proved useful. Instead of appropriately representing images with edges, the Wavelet Transform considers them as smooth functions with discontinuities along the curve. With the Curve let transform, frame components are indexed according to their scale, position, and orientation instead of the wavelet transform. They are scaled in line with an exclusive scalability rule, which specifies that a frame element's support's length is directly proportionate to its width squared. Image processing as well as communication technology like smartphones and tablets have been greatly influenced by it in recent years