Image Analysis Using Multigrid Relaxation Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Gradient domain high dynamic range compression
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
A Variational Framework for Retinex
International Journal of Computer Vision
Recovering Shading from Color Images
ECCV '92 Proceedings of the Second European Conference on Computer Vision
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
ACM SIGGRAPH 2003 Papers
Sparse matrix solvers on the GPU: conjugate gradients and multigrid
ACM SIGGRAPH 2003 Papers
Image fusion for context enhancement and video surrealism
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Noise reduction in high dynamic range imaging
Journal of Visual Communication and Image Representation
Retinex by two bilateral filters
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Properties and performance of a center/surround retinex
IEEE Transactions on Image Processing
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
High dynamic range image rendering with a retinex-based adaptive filter
IEEE Transactions on Image Processing
Gradient field multi-exposure images fusion for high dynamic range image visualization
Journal of Visual Communication and Image Representation
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The matter of generating high dynamic range (HDR) image from a number of differently exposed pictures arises to satisfy the needs of high-quality imaging and industrial applications. A number of HDR image generation algorithms have been proposed in the past. However, the HDR radiance map recovered by these classical methods cannot completely exclude the noisy pixels in the input images and thus are unable to produce the optimal result with highest possible SNR. In this paper we are going to introduce a new HDR generation algorithm based on the Multi-Exposure Retinex model deduced in this paper for HDR image composition. The luminance component L and the reflectance R are synthesized independently before being combined together. A novel R image composition method is introduced to help the composed result image reach the highest possible SNR. The method is tested on grey-level images in this paper, but it can be easily extended to the color-image version.