Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal

Abstract:

Recently, the annihilating filter-based low-rank Hankel matrix (ALOHA) approach was proposed as a powerful image inpainting method. Based on the Read More

Single Image Super-Resolution Based on Wiener Filter in Similarity Domain

Abstract:

Single image super-resolution (SISR) is an ill-posed problem aiming at estimating a plausible high-resolution (HR) image from a single low-resolution Read More

Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification

Abstract:

Deep learning has gained popularity in a variety of computer vision tasks. Recently, it has also been successfully applied for Read More

Semantic Neighbor Graph Hashing for Multimodal Retrieval

Abstract:

Hashing methods have been widely used for approximate nearest neighbor search in recent years due to its computational and storage Read More

SDL: Saliency-Based Dictionary Learning Framework for Image Similarity

Abstract:

In image classification, obtaining adequate data to learn a robust classifier has often proven to be difficult in several scenarios. Read More

Saliency Detection via Absorbing Markov Chain with Learnt Transition Probability

Abstract:

In this paper, we propose a bottom-up saliency model based on absorbing Markov chain (AMC). Firstly, a sparsely connected graph Read More