Paper
25 March 2008 Optimization and application of Retinex algorithm in aerial image processing
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Abstract
In this paper, we provide a segmentation based Retinex for improving the visual quality of aerial images obtained under complex weather conditions. With the method, an aerial image will be segmented into different regions, and then an adaptive Gaussian based on the segmentations will be used to process it. The method addresses the problems existing in previously developed Retinex algorithms, such as halo artifacts and graying-out artifacts. The experimental result also shows evidence of its better effect.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Sun, Jun He, and Hongyu Li "Optimization and application of Retinex algorithm in aerial image processing", Proc. SPIE 6978, Visual Information Processing XVII, 69780Y (25 March 2008); https://doi.org/10.1117/12.777517
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Image processing

Image processing algorithms and systems

Convolution

Image quality

Reflectivity

Algorithm development

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