We assess the benefit of including an image inpainting filter before passing damaged images into a classification neural network. employ appropriately modified Cahn–Hilliard equation as which is solved numerically with finite-volume scheme exhibiting reduced computational cost and properties energy stability boundedness. The benchmark dataset employed Modified National Institute Standards Techn...

In medical image processing, retinal image enhancement is the challenging issue to reveal the unseen details of an retinal image, thus, in many applications image enhancement issued to solve the challenges such as, noise reduction, blurring, degradation, etc. To improve the visual grade of retinal images we have many alternative image enhancement techniques that are suitable for specific applic...

Image enhancement plays an important role in vision applications. Enhancement is the technique of improving the superiority of a digital stored image. Recently much work is performed in the field of images enhancement. Many techniques have already been proposed up to now for enhancing the digital images. In this paper, we have compared three basic techniques of the image enhancement which are h...

Image fusion is the combination of two or more different images to form a new image by using a certain algorithm. Image fusion is a process of generating a single fused image using a set of input images which are assumed to be registered. Input images could be multi sensor, multimodal, multi focal or multi temporal .Image Enhancement is to process the input image in such a way that the output i...

The main objective of image enhancement is to process an image so that result is more suitable than the original image for specific application. Advancement in the technology brings the development in the Digital image processing techniques in both domains: spatial domain and frequency domain. Image enhancement plays a vital role in every field where images have to be understood and analyzed. M...