Digital Image Restoration : A Comparison Study between Inverse and Weiner Filtering Algorithms (IWFA)

Chuanpit Mungkala, Duangkamon Kitkuan

Abstract

In this article, pictures model are used in education. Digital image restoration by graying the image using effects, Motion Blurred Image, animation and image deterioration patterns that can be controlled according to the conditions we created with. Random disturbances through the Scilab and Mathlab program. Images that are blurred or deteriorated by using Inverse and Weiner Filtering to compare the return of the image to return to the original image using the time and efficiency of the original. It is a measure.