I'm uploading this question 2nd time , because first time i got answer of this question which contains 30 pages but no one is related to my question,The expert just uploads random 5/6 answer of different questions. He just ruin my question So kindly if you are gonna answer this question . Kindly answer it and kindly mention page numbers on Top of the pages .Thanks

._._,__.__,._,_.__,._,_____,__.___.__.______.___.______._._____._____._ Question # 1: [CL03, C3] (10) Image Compression is basically dened as to minimize the size of an image without degradation in the quality of image. Image compression is done so that image should take minimum amount of storage space. There are a number of techniques used these days for compression. One such technique used is SVD. SVD stands for Singular Value Decomposition. SVD is a simple technique which decompose input matrix into three matrices which are linearly independent. a) Apply the concept of SVD on matrix and shows its three decomposed matrices. b) Use the concept of SVD to compress below image. By using different block size, shows occupied bytes by compressed image and compression ratio. c) Apply this concept on atleast two sample images, one image is shown below and other you can take by yourself. INF\" \"HID. Figure 1: Input Image