A Hybrid DCT-DHE Approach for Enhancement of Low Contrast Underwater Images

被引：0

作者：

Dubey, Nisheeth ^{[1
]}

Tiwari, Sandeep Kumar ^{[1
]}

Sharma, Pankaj ^{[1
]}

机构：

[1] VITM, Dept CSE IT, Gwalior, India

来源：

2017 INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SIGNAL PROCESSING AND EMBEDDED SYSTEMS (RISE) | 2017年

关键词：

DCT; DHE; Contrast Enhancement; PSNR; Entropy;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this research, presented an underwater image enhancement (IE) making use of discrete cosine transform (DCT) with dynamic histogram equalization (DHE) algorithm.. The main issue in IE underwater images are blur impact, low-contrast, non-uniform illumination, because of turbulence in flow of water. In underwater images, it impacts the scattering of light from a few particles of various sizes, low force caused by low visibility conditions, suspended development particles. In this approach, firstly take RGB to YCBCR format for further processing. The new result is applied on peak signal Noise Ratio (PSNR) and Entropy. This calculation is contrasted and three calculations, to be specific DCP[1], brightness bi histogram equalization(BBHE), Contrast Enhance method. The proposed algorithm decribes that better performance as compared to other algorithms.

引用

页码：304 / 309

页数：6