Paper Info
Title
Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images
Abstract
Maintaining brightness and preserving image contrast can be challenging when tone mapping wide dynamic range (WDR) images. In this paper, we present a novel tone mapping algorithm for compressing of WDR images. The algorithm processes WDR images in different scales. The overall brightness consistency and fine details are well preserved in large and small scales, respectively. A fusion method based on a multi-scale guided image filter is also proposed to synthesize all scales to generate the final image. Integral image and integral histogram are utilized in this algorithm which greatly reduces computation complexity and processing time. Experimental results show that our algorithm can produce visually appealing images with good brightness and high local contrast.
Year
DOI
Venue
2017
10.1109/CAMSAP.2017.8313070
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Keywords
Field
DocType
multiScale histogram tone mapping algorithm,preserving image contrast,tone mapping wide dynamic range images,WDR images,brightness consistency,multiscale guided image filter,integral histogram,visually appealing images,computation complexity,fusion method
Wide dynamic range,Histogram,Microsoft Windows,Dynamic range,Computer science,Algorithm,Composite image filter,Tone mapping,Computation complexity,Brightness
Conference
ISBN
Citations 
PageRank 
978-1-5386-1252-1
1
0.35
References 
Authors
16
4
Name
Order
Citations
PageRank
Jie Yang1435.55
Alain Horé210.69
Ulian Shahnovich310.69
Orly Yadid-Pecht423035.79