H.5.11. Image Representation
1. Image Restoration by Variable Splitting based on Total Variant Regularizer

E. Sahragard; H. Farsi; S. Mohammadzadeh

Volume 6, Issue 1 , Winter 2018, , Pages 13-33

Abstract
  The aim of image restoration is to obtain a higher quality desired image from a degraded image. In this strategy, an image inpainting method fills the degraded or lost area of the image by appropriate information. This is performed in such a way so that the obtained image is undistinguishable for a casual ...  Read More

H.5.11. Image Representation
2. Face Recognition using an Affine Sparse Coding approach

M. Nikpour; R. Karami; R. Ghaderi

Volume 5, Issue 2 , Summer 2017, , Pages 223-234

Abstract
  Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image and video. Sparse coding has increasing attraction for image classification applications in recent years. But in the cases where we have some similar images from different classes, such as ...  Read More