Improve image de-blurring
Nidhal K. El Abbadi, Elaf J. Al Taee, Zainalabideen Abdulsamad · 2018
Image blurring is one of the most important concerns which modest the quality of image. Image blurring can have occurred due to many different reasons. Image de-blurring play a big area as a task for researchers to come over this challenge. There are many methods developed for image processing to go over image blurring issue. However, in this paper a new filter is suggested to merge with other de-blurring methods for improving image de-blurring enhancement. The proposed filter based on combining Markov basis and Laplace filter, it is slightly modified to make it appropriate for color image. Escalation image edge content is one of the proposed filter using. Moreover, merge the proposed filter with other de-blurring algorithms provides high quality outcomes to improve the performance of several de-blurring procedures. Also, by using median filter the outcomes can be rise up for both color and gray images. The proposed filter compared with other filters and gives promised results.