Apr 12, 2017 · Blurry Image Restoration by Joint Statistical Modeling in a Space-Transform Domain ... published in Volume-3, Issue-2, 2017. Paper Details ...
A novel algorithm for high-quality image restoration using the joint statistical modeling in a space transform domain is proposed, which efficiently ...
Missing: published | Show results with:published
May 11, 2014 · This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal self-similarity of natural images
Missing: Blurry IJARIIT
Abstract: This paper presents a completely unique strategy for accurate image restoration by characterizing each native smoothness and nonlocal ...
Missing: published IJARIIT
Abstract—This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and.
Missing: IJARIIT | Show results with:IJARIIT
A joint statistical modeling (JSM) in an adaptive hybrid space-transform domain is established, which offers a powerful mechanism of combining local ...
Missing: IJARIIT | Show results with:IJARIIT
Jan 19, 2015 · This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal ...
Missing: published IJARIIT
noising and blurring together. This type of joint restoration will have no of advantageous as compared with independent operations. By the results we can ...
Aug 17, 2024 · In this paper, the multi-sensor collaborative filtering algorithm is optimized, and a method based on evidence theory is proposed to deal with ...
May 3, 2021 · A host-based IDS equipped with a ML-driven engine and a statistical learning model has been developed, in [37], in order to detect node ranking ...