An analysis of selected computer interchange color spaces
ACM Transactions on Graphics (TOG)
Design and recovery of 2-D and 3-D shapes using rational Gaussian curves and surfaces
International Journal of Computer Vision
Digital image processing
ACM Transactions on Graphics (TOG)
Color image quantization by minimizing the maximum intercluster distance
ACM Transactions on Graphics (TOG)
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Almost Uniform Distributions for Computer Image Enhancement
IEEE Transactions on Computers
A study of efficiency and accuracy in the transformation from RGB to CIELAB color space
IEEE Transactions on Image Processing
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
Multifocus image fusion using region segmentation and spatial frequency
Image and Vision Computing
A solution to the deficiencies of image enhancement
Signal Processing
Bottom-up segmentation for ghost-free reconstruction of a dynamic scene from multi-exposure images
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
High dynamic range optimal fuzzy color image enhancement using Artificial Ant Colony System
Applied Soft Computing
Gradient field multi-exposure images fusion for high dynamic range image visualization
Journal of Visual Communication and Image Representation
Ghost detection and removal for high dynamic range images: Recent advances
Image Communication
Photo-consistent synthesis of motion blur and depth-of-field effects with a real camera model
Image and Vision Computing
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Non-linear normalized entropy based exposure blending
Proceedings of Graphics Interface 2013
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A method for fusing multi-exposure images of a static scene taken by a stationary camera into an image with maximum information content is introduced. The method partitions the image domain into uniform blocks and for each block selects the image that contains the most information within that block. The selected images are then blended together using monotonically decreasing blending functions that are centered at the blocks and have a sum of 1 everywhere in the image domain. The optimal block size and width of the blending functions are determined using a gradient-ascent algorithm to maximize information content in the fused image.