Image restoration using the chiral Potts spin-glass

We report on the image reconstruction (IR) problem by making use of the random chiral q-state Potts model, whose Hamiltonian possesses the same gauge invariance as the usual Ising spin glass model. We show that the pixel representation by means of the Potts variables is suitable for the gray-scale level image which can not be represented by the Ising model. We find that the IR quality is highly improved by the presence of a glassy term, besides the usual ferromagnetic term under random external fields, as very recently pointed out by Nishimori and Wong. We give the exact solution of the infinite range model with q=3, the three gray-scale level case. In order to check our analytical result and the efficiency of our model, 2D Monte Carlo simulations have been carried out on real-world pictures with three and eight gray-scale levels.Comment: RevTex 13 pages, 10 figure

Investigation of varying gray scale levels for remote manipulation

A study was conducted to investigate the effects of variant monitor gray scale levels and workplace illumination levels on operators' ability to discriminate between different colors on a monochrome monitor. It was determined that 8-gray scale viewing resulted in significantly worse discrimination performance compared to 16- and 32-gray scale viewing and that there was only a negligible difference found between 16 and 32 shades of gray. Therefore, it is recommended that monitors used while performing remote manipulation tasks have 16 or above shades of gray since this evaluation has found levels lower than this to be unacceptable for color discrimination task. There was no significant performance difference found between a high and a low workplace illumination condition. Further analysis was conducted to determine which specific combinations of colors can be used in conjunction with each other to ensure errorfree color coding/brightness discrimination performance while viewing a monochrome monitor. It was found that 92 three-color combination and 9 four-color combinations could be used with 100 percent accuracy. The results can help to determine which gray scale levels should be provided on monochrome monitors as well as which colors to use to ensure the maximal performance of remotely-viewed color discrimination/coding tasks

A multimode gray-scale CMOS optical sensor for visual computers

This paper presents a new multimode optical sensor architecture for the optical interface of Visual CNN (cellular neural net) chips. The sensor offers to the user the possibility of choosing the photo-sensitive device as well as the mechanism for transducing the photogenerated charges into the correspondent pixel voltage. Both linear or logarithmic compression acquisition modes are available. This makes the sensor very suitable to be used in very different illumination conditions.Office of Naval Research (USA) N0014-WC-0295Comisión Interministerial de Ciencia y Tecnología TIC 1999-082

COLORIMETER WITH GRAY SCALE CAMERA

Methods and systems for using a monochrome camera in colorimeter systems to perform image quality testing are provided during the manufacturing (e.g., benchmarking) process. The system may include a target image displayed on a device for directing light to the system. The system (e.g., colorimeter system) may include a spectrometer system and a camera system. The spectrometer system may receive light from the target image and may perform functions such as determining the spectrum, calculating the chromaticity, and identifying the spectral shape associated with the light from the display being tested. The camera system may receive the light from the display being tested in gray scale, create a luminance map to represent the colors on the display, and based on the data determined, via the spectrometer system, apply corrections to the display