Quest: A Bayesian adaptive psychometric method
An adaptive psychometric procedure that places each trial at the current most probable Bayesian estimate of threshold is described. The procedure takes advantage of the common finding that the human…
Model of human visual-motion sensing.
- A. Watson, A. Ahumada
- PhysicsJournal of the Optical Society of America. A…
- 1 February 1985
A model of how humans sense the velocity of moving images, using a set of spatial-frequency-tuned, direction-selective linear sensors, agrees qualitatively with human perception.
Model of visual contrast gain control and pattern masking.
- A. Watson, J. Solomon
- Computer ScienceJournal of The Optical Society of America A…
- 1 September 1997
We have implemented a model of contrast gain and control in human vision that incorporates a number of key features, including a contrast sensitivity function, multiple oriented bandpass channels,…
DCT quantization matrices visually optimized for individual images
- A. Watson
- Computer ScienceElectronic imaging
- 8 September 1993
Here I show how to compute a matrix that is optimized for a particular image, and custom matrices for a number of images show clear improvement over image-independent matrices.
Visibility of wavelet quantization noise
- A. Watson, Gloria Y. Yang, J. Solomon, J. Villasenor
- Computer ScienceIEEE Transactions on Image Processing
- 1 August 1997
A mathematical model is constructed for DWT noise detection thresholds that is a function of level, orientation, and display visual resolution that allows calculation of a "perceptually lossless" quantization matrix for which all errors are in theory below the visual threshold.
Probability summation over time
- A. Watson
- Environmental ScienceVision Research
- 31 December 1979
DCTune: A TECHNIQUE FOR VISUAL OPTIMIZATION OF DCT QUANTIZATION MATRICES FOR INDIVIDUAL IMAGES.
- A. Watson
- Computer Science
- 1993
The method treats each DCT coefficient as an approximation to the local response of a visual "channel" and estimates the quantization matrix for a particular image that yields minimum bit rate for a given total perceptual error, or minimum perceptual error for agiven bit rate.
Image Compression Using the Discrete Cosine Transform
- A. Watson
- Computer Science
- 1994
Some simple functions to compute the discrete cosine transform and how it is used for image compression are developed to illustrate the use of Mathematica in image processing and to provide the reader with the basic tools for further exploration of this subject.
The cortex transform: rapid computation of simulated neural images
- A. Watson
- Computer Science
- 1 September 1987
A unified formula for light-adapted pupil size.
- A. Watson, J. Yellott
- BiologyJournal of Vision
- 26 March 2012
A new unified formula is developed that incorporates the effects of luminance, size of the adapting field, age of the observer, and whether one or both eyes are adapted.
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