Image Quality Estimation using Scaling and Morphing Techniques

A compression based morphing and scaling framework is proposed to make full use of this differently image. In recent years, the development and demand of multimedia product grows increasingly fast, contributing to in sufficient bandwidth of network and storage of memory device. Therefore, the theory of data compression becomes more and more significant for reducing the data redundancy to save more hardware space and transmission bandwidth. In computer science and information theory, data compression or source coding is the process of encoding information using fewer bits or other information-bearing units than an un encoded representation. Compression is useful because it helps reduce the consumption of expensive resources such as hard disk space or transmission bandwidth. Commercial implementation may have something adaptive algorithm. Interpolate the coordinates of the end points of every pair of lines. Each of the source images has to be deformed towards the needed frame. The deformation works pixel by pixel is based on the reverse mapping. This algorithm is Beyer-Neely Algorithm.