The implementation of Multi-Scale Retinex image enhancement algorithm based on GPU via CUDA

Author

Wang Zheng-ning ; Liu Changzhong ; Yu, Lu ; Min, Wu ; Zhang Ping

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2010

fDate

6-8 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

The MSR (Multi-Scale Retinex) image enhancement algorithm can produce best performance in most cases, but the computation load is very huge especially for large image. In this paper, an efficient approach is proposed to accelerate MSR image enhancement speed on GPU via CUDA (Compute Unified Device Architecture). Time consuming modules such as multi-scale Gaussian filter, logarithmic domain differencing and dynamic range compressing are analyzed and implemented in GPU. Experiment results show that the proposed method can reduce the execution time significantly, and get a maximum speedup ratio over 100x.

Keywords

Gaussian processes; computer graphic equipment; coprocessors; filtering theory; image colour analysis; image enhancement; parallel architectures; CUDA; GPU; MSR; compute unified device architecture; multi-scale retinex image enhancement algorithm; Adaptation model; Computational modeling; Graphics processing unit; Image resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-7369-4

Type

conf

DOI

10.1109/ISPACS.2010.5704755

Filename

5704755