Title
High dynamic range image tone mapping based on asymmetric model of retinal adaptation.
Abstract
Global tone mapping operators using the symmetrical retinal response model to light tend to produce a low dynamic range (LDR) image that exhibits loss of details of its corresponding high dynamic range (HDR) image in a bright or dark area. In this paper, we introduce a new asymmetric sigmoid curve (ASC) based on the model of retinal adaptation encompassing symmetrical S-shaped curve, and present two global tone mapping operators by using the ASC. In the proposed method, an ASC-based tone mapping function is obtained by using a well-known classic photography technique, called zone system. In addition, a contrast-enhancing tone mapping function is introduced by formulating a bi-criteria optimization problem with the luminance histogram of an input HDR image and the ASC-based mapping function. Experimental results demonstrate that the proposed method enhances the global contrast while preserving image details in the tone-mapped LDR image. Moreover, the objective assessment results using an image quality metric indicate that the proposed method shows a high performance to state-of-the-art global tone mapping operators.
Year
DOI
Venue
2018
10.1016/j.image.2018.07.008
Signal Processing: Image Communication
Keywords
Field
DocType
High dynamic range image,Tone mapping operator,Retina response model,Perceptual image processing
Computer vision,Histogram,Computer science,Image quality,Retinal adaptation,Tone mapping,Artificial intelligence,Luminance,High dynamic range,Sigmoid function,Zone System
Journal
Volume
ISSN
Citations 
68
0923-5965
1
PageRank 
References 
Authors
0.36
16
5
Name
Order
Citations
PageRank
Dae-Hong Lee152.16
Ming Fan28310.32
Seung Wook Kim3104.19
muncheon kang4266.79
Sung-Jea Ko51051114.34