Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
Digital Image Processing
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A tone mapping algorithm for high contrast images
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Dynamic Range Reduction Inspired by Photoreceptor Physiology
IEEE Transactions on Visualization and Computer Graphics
Compressing and companding high dynamic range images with subband architectures
ACM SIGGRAPH 2005 Papers
Image denoising based on the edge-process model
Signal Processing
Automatic image enhancement by content dependent exposure correction
EURASIP Journal on Applied Signal Processing
Tone-mapping high dynamic range images by novel histogram adjustment
Pattern Recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
SIAM Journal on Imaging Sciences
Learning photographic global tonal adjustment with a database of input/output image pairs
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
High dynamic range image rendering with a retinex-based adaptive filter
IEEE Transactions on Image Processing
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing
Enhancement of Color Images by Scaling the DCT Coefficients
IEEE Transactions on Image Processing
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We address the problem of exposure correction for under-exposed images in this paper. We propose the bright channel prior based on the statistics of well-exposed images. Using the proposed prior, we are able to estimate the relative exposure in local image regions. A well-exposed noise-free image is then recovered after exposure correction followed by non-uniform denoising and detail enhancement. Our experiments on under-exposed images of various scenes demonstrate the effectiveness of the bright channel prior. Our user study shows that the results generated by our exposure correction method are preferred over existing methods.