Effect of averaging and deblurring filter on ASVD based image retrieval for embedded system applications

Digital Image Processing is an ever expanding and dynamic area with applications reaching out into our everyday life such as digital gadgets, medicine, space exploration, internet technologies, surveillance, and many more areas. Applications such as these engross different processes like image compression, enhancement, filtering, resizing to name a few. The proposed work encompasses the effect of averaging and deblurring filtering techniques on the images, retrieved from an Adaptive Singular Value Decomposition (ASVD) algorithm. This paper explores and verifies the consequences of the application of averaging and deblurring filters to reconstructed images with varying values of rank of matrix (k), by using computing parameters such as Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) in accordance with quality of the image processed. Such a system developed may find the application in many embedded systems.