Paper Info
Title
Low visual difference virtual high dynamic range image synthesizer from a single legacy image
Abstract
New generations of display technologies provide signicantly improved dynamic range over conventional display devices. Current inverse tone mapping schemes require multiple exposure low dynamic range (LDR) images to generate high dynamic range (HDR) images. In this work, we propose an exposure dependent S curve to convert one optimized LDR image to multiple images with different brightness, which are then fused into a virtual real scene HDR image with wide dynamic range. According to our implementation results, the dynamic range can reach about 105. The synthesizer is robust and temporally coherent, and does not require image specific parameter adjustment. This paper also presents the image quality assessment with HDR visual difference predictor (HDR-VDP) and relative entropy contrast, and our work has better performance than other inverse tone mapping operators (iTMOs) for the both image quality assessments.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6116090
ICIP
Keywords
Field
DocType
optimisation,inverse tone mapping,legacy image,image fusion,hdr,virtual reality,low dynamic range (ldr),visual difference predictor,computer displays,low dynamic range,inverse tone mapping schemes,s curve,high dynamic range (hdr),ldr,image synthesizer,optimization,entropy contrast,image quality assessment,natural scenes,high dynamic range,display technology,entropy,vdp,visual difference predictor (vdp),virtual real scene,tone mapping,image quality,brightness,dynamic range,relative entropy,visualization
Wide dynamic range,Computer vision,Dynamic range,Image fusion,Pattern recognition,Computer science,Image quality,Display device,Tone mapping,Artificial intelligence,Multiple exposure,High dynamic range
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4577-1302-6
978-1-4577-1302-6
7
PageRank 
References 
Authors
0.66
5
2
Name
Order
Citations
PageRank
Tsun-Hsien Wang1656.66
Ching-Te Chiu230438.60