Colorization using optimization
ACM SIGGRAPH 2004 Papers
Image upsampling via imposed edge statistics
ACM SIGGRAPH 2007 papers
A Bayesian super-resolution approach to demosaicing of blurred images
EURASIP Journal on Applied Signal Processing
Video-to-video dynamic super-resolution for grayscale and color sequences
EURASIP Journal on Applied Signal Processing
Novel inverse colorization for image compression
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Direct super-resolution and registration using raw CFA images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Video and image bayesian demosaicing with a two color image prior
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Dynamic texture synthesis in the YUV color-space
ICEC'07 Proceedings of the 6th international conference on Entertainment Computing
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Image sensing is usually done with multiple sensors, likethe RGB sensors in color imaging, the IR and EO sensorsin surveillance and satellite imaging, etc. The resolutionof each sensor can be increased by considering the imagesof the other sensors, and using the statistical redundancyamong the sensors. Particularly, we use the fact that mostdiscontinuities in the image of one sensor correspond to discontinuitiesin the other sensors.Two applications are presented: Increasing the resolutionof a single color image by using the correlation amongthe three color channels, and enhancing noisy IR images.