Compression and denoise of an image by LU and QR decompoition

Image data postulates to a greater extend space for storage, bandwidth while transmission in communication system is demand huge computational power. Every format of data contains much information. Hence it is necessary to decomposition the image data, there are many image decomposition techniques used to utilize storage and bandwidth in communication system, and these are basically spatial domain and frequency domain. Spatial domain is operates the image on gray scale values. Aim of the paper is analysis using LU decomposition and QR decomposition, also comparison between the decomposition. Calculate the condition number for measures how change in input image is propagated to change in output image.