Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Digital photography with flash and no-flash image pairs
ACM SIGGRAPH 2004 Papers
A Non-Local Algorithm for Image Denoising
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Image deblurring with blurred/noisy image pairs
ACM SIGGRAPH 2007 papers
Adaptive wavelet thresholding for image denoising and compression
IEEE Transactions on Image Processing
Image denoising using total least squares
IEEE Transactions on Image Processing
Multiresolution Bilateral Filtering for Image Denoising
IEEE Transactions on Image Processing
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Images captured from digital camera suffer noise due to high sensor gain under dark conditions. Furthermore, camera-shake is unavoidable when exposure time is long enough to have desirable SNR. This paper presents an image capturing method that enhances image quality in low-light environments by fusing visible-band (400-700 nm) image and wide-band (400-1000 nm) image. Wide-band image has lower noise, richer detail and a monotonic color. Visible-band image has higher noise, poorer detail and a trichromatic color. We describe how the advantages of these images are exploited to create new image that is of higher quality. Experiments demonstrate that the proposed method significantly improves quality of images under low illumination conditions.