In this paper, we introduce the current weighted non-locally self-similarity (WNLSS) method [1], which is originally proposed to remove the noise for natural ...

Mar 15, 2017 · In this paper, we introduce the existing weighted non-local self-similarity sparse model [1] into face deblurring task and verify that the model ...

Mar 15, 2017 · In this paper, we introduce the current weighted non-locally self-similarity (WNLSS) method [1], which is originally proposed to remove the ...

The illustration of non-local self-similarity in a face image. This property brings us an alternative approach to estimate the sparse coding coefficients of ...

In this paper, we propose a novel approach for image restoration via simultaneous patch-group sparse coding (SPG-SC) with dual-weighted ℓ p minimization.

We propose a blind image deblurring model based on the group sparse representation (GSR) prior. The motivation for this work is that adjacent similar patches ...

Using this feature, Tian et al. [10] introduced the earliest weighted non-local self- similarity [11] method for denoising into a sparse representation model ...

Weighted Non-locally Self-similarity Sparse Representation for Face Deblurring · Computer Science. ACCV Workshops · 2016.

A curated list of resources for Image and Video Deblurring - subeeshvasu/Awesome-Deblurring.

Nov 30, 2023 · The purpose of facial image deblurring is to recover a clear image from a blurry input image, which can improve the recognition accuracy, etc.