Presence: Teleoperators and Virtual Environments - Mixed reality
Determining the Camera Response from Images: What Is Knowable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Space of Camera Response Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Continuous lifelong capture of personal experience with EyeTap
Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
"Sousveillance": inverse surveillance in multimedia imaging
Proceedings of the 12th annual ACM international conference on Multimedia
An image-based calibration technique of spatial domain depth-from-defocus
Pattern Recognition Letters
Image quality improvement by adaptive exposure correction techniques
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Background estimation under rapid gain change in thermal imagery
Computer Vision and Image Understanding
Superresolution under photometric diversity of images
EURASIP Journal on Applied Signal Processing
Automatic image enhancement by content dependent exposure correction
EURASIP Journal on Applied Signal Processing
Note: Illumination robust interest point detection
Computer Vision and Image Understanding
Image enhancement method VIA blur and noisy image fusion
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
An improved HDR image synthesis algorithm
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Wavelet based denoising by correlation analysis for high dynamic range imaging
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Low-light imaging solutions for mobile devices
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Probability models for high dynamic range imaging
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Non-linear parametric Bayesian regression for robust background subtraction
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Camera response functions for image forensics: an automatic algorithm for splicing detection
IEEE Transactions on Information Forensics and Security
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
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
Joint photometric and geometric image registration in the total least square sense
Pattern Recognition Letters
High dynamic range (HDR) video image processing for digital glass
Proceedings of the 20th ACM international conference on Multimedia
Exposure stacks of live scenes with hand-held cameras
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
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It is argued that, hidden within the flow of signals from typical cameras, through image processing, to display media, is a homomorphic filter. While homomorphic filtering is often desirable, there are some occasions where it is not. Thus, cancellation of this implicit homomorphic filter is proposed, through the introduction of an antihomomorphic filter. This concept gives rise to the principle of quantigraphic image processing, wherein it is argued that most cameras can be modeled as an array of idealized light meters each linearly responsive to a semi-monotonic function of the quantity of light received, integrated over a fixed spectral response profile. This quantity depends only on the spectral response of the sensor elements in the camera. A particular class of functional equations, called comparametric equations, is introduced as a basis for quantigraphic image processing. These are fundamental to the analysis and processing of multiple images differing only in exposure. The “gamma correction” of an image is presented as a simple example of a comparametric equation, for which it is shown that the underlying quantigraphic function does not pass through the origin. Thus, it is argued that exposure adjustment by gamma correction is inherently flawed, and alternatives are provided. These alternatives, when applied to a plurality of images that differ only in exposure, give rise to a new kind of processing in the “amplitude domain”. The theoretical framework presented in this paper is applicable to the processing of images from nearly all types of modern cameras. This paper is a much revised draft of a 1992 peer-reviewed but unpublished report by the author, entitled “Lightspace and the Wyckoff principle”