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Optical Engineering

Adaptive filtering for noise reduction in hue saturation intensity color space
Author(s): Hyun Wook Park; Lakshmanan Gopishankar; Yongmin Kim
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Paper Abstract

Even though the hue saturation intensity (HSI) color model has been widely used in color image processing and analysis, the conversion formulas from the RGB color model to HSI are nonlinear and complicated in comparison with the conversion formulas of other color models. When an RGB image is degraded by random Gaussian noise, this nonlinearity leads to a nonuniform noise distribution in HSI, making accurate image analysis more difficult. We have analyzed the noise characteristics of the HSI color model and developed an adaptive spatial filtering method to reduce the magnitude of noise and the nonuniformity of noise variance in the HSI color space. With this adaptive filtering method, the filter kernel for each pixel is dynamically adjusted, depending on the values of intensity and saturation. In our experiments we have filtered the saturation and hue components and generated edge maps from color gradients. We have found that by using the adaptive filtering method, the minimum error rate in edge detection improves by approximately 15%.

Paper Details

Date Published: 1 June 2002
PDF: 8 pages
Opt. Eng. 41(6) doi: 10.1117/1.1475996
Published in: Optical Engineering Volume 41, Issue 6
Show Author Affiliations
Hyun Wook Park, Korea Advanced Institute of Science and Technology (South Korea)
Lakshmanan Gopishankar, Univ. of Washington (United States)
Yongmin Kim, Univ. of Washington (United States)

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