Accession Number : ADA259499


Title :   A Vector Signal Processing Approach to Color


Descriptive Note : Technical rept.,


Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB


Personal Author(s) : Sung, Kah-Kay


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a259499.pdf


Report Date : Jan 1992


Pagination or Media Count : 146


Abstract : Color is a useful visual cue for obtaining surface material information in a scene. Unfortunately, the surface color of an object can sometimes be different from its recorded color in an image because of optical effects like highlight and inter-body reflection. These effects often confuse traditional color algorithms that assume all surfaces in a scene to be perfectly lambertian. This thesis adopts a signal processing approach to color vision. It represents surface color as a vector signal in a 3-dimensional color space, from which we extract region and boundary information. We immediately face two problems with this approach. The first, which is the same problem that traditional color algorithms face, is that highlight and inter-body reflection effects make image color different from surface color. We use a simple but effective method based on the theory of polarizing filters and electromagnetic wave reflection to correct for these effects on dielectric material surfaces in the scene. The second problem is to augment traditional scalar signal processing tools for 3-dimensional color vector signals. We linearize color by defining a notion of color similarity and difference, and use these measures in place of their traditional scalar counterparts in our vector signal processing algorithms. The main contribution of this thesis is the systematic approach we propose that allows us to extend scalar signal processing tools and concepts into a multi-dimensional vector domain. We also discuss some ways of integrating surface color information with grey level intensity information.... Color vision, color noise, image segmentation, polarizers, vector signal.


Descriptors :   *SIGNAL PROCESSING , *OPTICAL IMAGES , *ARTIFICIAL INTELLIGENCE , *IRRADIATION , *COLORS , *COLOR VISION , ALGORITHMS , ELECTROMAGNETIC FIELDS , REFLECTION , VISION , FILTERS , POLARIZERS , POLARIZING FILTERS , ELECTROMAGNETIC WAVE REFLECTIONS , DISCONTINUITIES , NOISE , VISUAL PERCEPTION , VECTOR ANALYSIS , IMAGES , SPECTRA , REAL TIME , INTENSITY , THESES


Subject Categories : Cybernetics
      Optics


Distribution Statement : APPROVED FOR PUBLIC RELEASE