DocumentCode :
629423
Title :
Effective restoration of clipped pixels in LDR images
Author :
Gupta, Swastik ; Sharma, U. ; Patel, Harshida
Author_Institution :
Sch. of Electron. Eng., VIT Univ., Vellore, India
fYear :
2013
fDate :
3-5 April 2013
Firstpage :
893
Lastpage :
896
Abstract :
Conventional images store a very limited dynamic range of brightness. When conversion of HDR images to LDR images takes place for making images compatible to low dynamic range display, some part of HDR images get clipped. The clipping changes the value of RGB results, color distortion occurs. For getting clipped pixels we propose an algorithm to enhancing the chroma values. Proposed algorithm is mainly based on chroma spatial correlation between clipped pixels and surrounding unclipped areas. After identifying the clipped area in image, partition the clipped area with similar chroma, then estimate the chroma for clipped area by the help of neighboring unclipped chroma pixels. Correct the RGB values by the help of estimated chroma values of the clipped area. Last step is to smooth the boundary where sharp color difference occurs, by providing transition band. When result is compared with the original image, it shows that algorithm is very effective in restoring the clipped pixels.
Keywords :
correlation methods; image colour analysis; image restoration; smoothing methods; LDR images; RGB values; chroma spatial correlation; clipped pixels; color difference; color distortion; image restoration; low dynamic range; neighboring unclipped chroma pixels; transition band; Color; Dynamic range; Educational institutions; Estimation; Image color analysis; Image restoration; PSNR; Clipping; Color Estimations; High Dynamic Ranges (HDR); Low Dynamic Ranges (LDR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2013 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4673-4865-2
Type :
conf
DOI :
10.1109/iccsp.2013.6577185
Filename :
6577185
Link To Document :
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