Singular Value Decomposition in Image Compression and Blurred Image Restoration

摘要

The singular value decomposition (SVD) is an important and very versatile tool for matrix computations with a variety of uses. The contribution briefly introduces the concept of the SVD and basic facts about it and then describes two classes of its applications in image processing - image compression and blurred image restoration. Calculations are implemented in MATLAB software. Our experiences and the results are presented in the text.