Spectral estimation and processing of imagery data

David H. Tofsted

doi:10.1117/12.177941

15 June 1994 Spectral estimation and processing of imagery data

David H. Tofsted

Proceedings Volume 2223, Characterization and Propagation of Sources and Backgrounds; (1994) https://doi.org/10.1117/12.177941
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Given the task of modifying color images for atmospheric effects one step involves recasting the color (red, green, blue) pixel information as spectrally resolved information that can be modified for transmission, path radiance, and aerosol-forward-scatter/turbulence blurring effects. The paper describes the means of using sensor spectral response functions to perform the spectral estimation task. Spectral data is recorded as a function of pixel position and waveband using a series of object-oriented C++ classes. Each waveband image is processed separately for atmospheric effects, and the output spectral images are used to create an output color image. The estimation technique begins by defining a color space that is the analog of human chromaticity space. Sensor spectral responsivity data is required as input and used in providing a series of monoband response points and three templates related to the red, green, and blue response functions. The estimation technique involves direct calculations for color coordinates within the red/green/blue triangle. For valid color coordinates outside this triangle, an iterative technique was developed.

Citation Download Citation

David H. Tofsted "Spectral estimation and processing of imagery data", Proc. SPIE 2223, Characterization and Propagation of Sources and Backgrounds, (15 June 1994); https://doi.org/10.1117/12.177941

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