Distributed compressed video sensing of multi-view images using ADMM

被引：0

作者：

Sumi, Taichi ^{[1
]}

Nakamura, Ikumi ^{[2
]}

Kuroki, Yoshimitsu ^{[1
]}

机构：

[1] Natl Inst Technol, Kurume Coll, Komorino 1-1-1, Kurume, Fukuoka 8338555, Japan

[2] Univ Tsukuba, Tennodai 1-1-1, Tsuchiura, Ibaraki 3058571, Japan

来源：

2016 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA) | 2016年

关键词：

RECONSTRUCTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A light field camera records information of light (light field) in three dimensional space. It can also generate multi-view images by processing the light field. Distributed compressed video sensing is a technique composed by a distributed video coding and a compressed sensing. This study examines a distributed compressed video sensing that focuses on correlation between the multi-view images and solves sparse problem on the distributed compressed video sensing with ADMM (Alternating Direction Method of Mutipliers) which is one of convex optimization algorithms. In addition, we design dictionaries to represent an original signal sparser and confirm high-quality image reconstruction.

引用

页数：5

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