Discrete Anamorphic Stretch Transform based Image Compression with Watermarking

Abstract

In order to handle the big data problem, a physics-based transform called Discrete Anamorphic Stretch Transform (DAST) is used which enables image compression by increasing the spatial coherency. DAST emulates diffraction of the image through a physical medium with specific non-linear dispersive property. This diffraction-based compression is achieved through a mathematical restructuring of the image. By performing space-bandwidth compression, it reduces the data size required to represent the image for a given image quality. This transform is being used as a pre-compression step to improve the performance of standard image compression algorithms. In this work, an image compressed using DAST followed by JPEG 2000 is being watermarked and its efficiency is analyzed.