Paper Info
Title
A Fast Multi-Scale Decomposition Based Tone Mapping Algorithm For High Dynamic Range Images
Abstract
Traditional digital display devices, due to their hardware limitations, cannot represent the whole range of luminance in High Dynamic Range (HDR) images. In order to solve this incompatible problem, many tone mapping techniques were introduced to reproduce HDR images presently. Unlike one of the traditional work of art in [13], this paper proposes a fast and multi-scale decomposition based tone mapping algorithm using the Improved Local Extrema (ILE) filter depended on the correlation of pixels. The reason of using ILE filter is due to the fact that it is able to decrease the time-consuming without noticeable image quality deterioration. Firstly, the ILE filters of variant scales are utilized to dispose the input HDR image into a series of base images under different scales. Secondly, multi-scale decomposition is utilized to obtain detail images with variable scales from the aforementioned base images. Finally, both of the base and detail images are converted into an initial compressed image to generate a Low Dynamic Range (LDR) image. Experimental results show that the proposed algorithm outperforms previous methods for reconstructing the real scene of HDR images, especially for its fast running time compared with the traditional work using Local Extrema (LE) filter.
Year
Venue
Keywords
2016
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
tone mapping, multi-scale decomposition, ILE, HDR image
Field
DocType
ISSN
Computer vision,Dynamic range,Computer science,Algorithm,Image quality,Display device,Maxima and minima,Tone mapping,Pixel,Artificial intelligence,Luminance,High dynamic range
Conference
1062-922X
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Qiaosong Chen132.42
Xiao Liu200.34
Huiqiong Ran300.34
Shizhou Dong400.34
Dongcan Cui500.34
Xin Deng621.37
Jin Wang731.74