DocumentCode :
2797295
Title :
Half-quadratic regularization based de-noising for high dynamic range image synthesis
Author :
Yao, Wei ; Li, Zhengguo ; Rahardja, Susanto ; Yao, Susu ; Zheng, Jinghong
Author_Institution :
Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
1370
Lastpage :
1373
Abstract :
It is possible to synthesis a high dynamic range (HDR) image by combining differently exposed low dynamic range (LDR) images of the same scene into one single image. For an HDR scene under low light condition, captured LDR images tend to be noisy, and the noise could usually be amplified during the synthesis process, causing severe degradation of the image quality. In order to reduce the noise during the HDR synthesis process, a de-noising scheme based on half-quadratic regularization is proposed for the synthesis of HDR images in this paper. By taking into consideration of two unique HDR image features, the proposed scheme effectively removes the noise, while the edges still being well preserved in the synthesized HDR images.
Keywords :
feature extraction; image denoising; image enhancement; HDR image feature; HDR synthesis process; half quadratic regularization based denoising; high dynamic range image synthesis; image denoising scheme; image quality; low dynamic range images; Cameras; Degradation; Dynamic range; Image generation; Image sensors; Layout; Noise reduction; Pixel; Quantization; Signal processing; De-noise; Half-quadratic regularization; High dynamic range image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495451
Filename :
5495451
Link To Document :
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