Recovering Microscopic Images in Material Science Documents by Image Inpainting

Recovering Intrinsic Images by Minimizing Image Complexity

This paper tackles the problem of decomposing a single image into two intrinsic images – a shading image (the illumination at each point) and a reflectance image (the colour at each point). Assuming a linear response of the camera, the acquired image I(x,y) is modelled as the product of the shading S(x,y) and the reflectance R(x,y) (collectively called intrinsic images): the goal is to recover ...

Image Enhancement and Restoration by Image Inpainting

-Inpainting is the process of reconstructing lost or deteriorated part of images based on the background information. i. e .it fills the missing or damaged region in an image utilizing spatial information of its neighboring region. Inpainting algorithm have numerous applications. It is helpfully used for restoration of old films and object removal in digital photographs. The main goal of the al...

Microscopic Image Analysis for Life Science Applications

Microscopic Image Analysis for Life Science Applications

A Survey on Image Inpainting for Remotely Sensed Images

Image inpainting is the process of reconstructing an image or to fill the missed region by using the surrounding pixels so that it looks reasonable to human eye. Sometimes, while capturing the image dead pixels will exists in the image which results in degraded image. In this paper, various algorithms are discussed by using which we can get a smoothed and undegraded image. Keywords—Inpainting, ...