Human Visual System for Complexity Reduction of Image and Video Restoration

被引：0

作者：

Bruni, Vittoria ^{[1
]}

De Canditiis, Daniela ^{[2
]}

Vitulano, Domenico ^{[2
]}

机构：

[1] Univ Roma La Sapienza, Dept SBAI, Fac Engn, Rome, Italy

[2] CNR, Rome, Italy

来源：

COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2 | 2011年 / 6855卷

关键词：

Human Visual System; Block classification; Complexity Reduction; Image and Video Restoration; CONTRAST; ENHANCEMENT; VISIBILITY; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper focuses on the use of Human Visual System (HVS) rules for reducing the complexity of image and video restoration algorithms. Specifically, a fast HVS based block classification is proposed for distinguishing image blocks where restoration is necessary from the ones where it is useless. Some experimental results on standard test images and video sequences show the capability of the proposed method in reducing the computing time of de-noising algorithms, preserving the visual quality of the restored sequences.

引用

页码：261 / 268

页数：8

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