International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 68 - Number 22 |
Year of Publication: 2013 |
Authors: Rohina Ansari, Himanshu Yadav, Anurag Jain |
10.5120/11713-7337 |
Rohina Ansari, Himanshu Yadav, Anurag Jain . A Survey on Blurred Images with Restoration and Transformation Techniques. International Journal of Computer Applications. 68, 22 ( April 2013), 29-33. DOI=10.5120/11713-7337
In modern science and technology, digital images gaining popularity due to increasing requirement in many fields like medical research, astronomy, remote sensing, graphical use etc. Therefore, the quality of images matters in such fields. There are many ways by which the quality of images can be improved. Image restoration is one of the emerging methodologies among various existing techniques. Image restoration is the process of simply obtaining an estimated original image from the blurred, degraded or corrupted image. The primary goal of the image restoration is the original image is recovered from degraded or blurred image . This paper contains the review of many different schemes of image restoration that are based on blind and non-blind de-convolution algorithm using transformation techniques.