Different Methods used for Image Restoration

Abstract

ABSTRACT

Digital imaging has encountered huge development in the later decades, and advanced camera pictures have been utilized in a developing number of uses. Digital image processing is an acceptable practice in forensic science and, digital images are using many of the forensic applications. Now a day malicious user is using digital images for unauthorized activities and they alter the digital images. So, we have to verify the authenticity of digital images. In many applications like, producing the digital image, as evidence for proving a case in a courtroom, then we have to clear all data in a digital image. Restore that type of altered image is an important topic in image processing research area. Image restoration is the process to recover the original image from its altered version. But the important thing is restored image is not the original image, it⁰ s an approximation of the actual image. This paper presents a literature survey on some of the image restoration techniques that done denoising, deblurring, super resolution, vignetting etc. And also comparing the techniques on the basis of restoration quality. Removal or reduction of degradation that are included during image acquisition e.g.; noise, pixel value errors, blurring out of focus or camera motion blurring using prior knowledge of the degradation phenomenon. The goal of restoring an image reduces noise and responds the loss that happens in different resolutions. The alternations are done in frequency domain and spatial domain. Different types of algorithms and techniques are used for the image restoration. Many verities of filters are available for the image restoration. Many of the restorations are done with the help of prior knowledge. As of now image manipulations are far reaching on the internet and other security applications. So, we have to verify the authenticity of digital images and make clear the objects present in the photograph. There for the image restoration mechanism is very important in the field of image restoration.