Conference Paper
An illuminancereflectance nonlinear video enhancement model for homeland security applications
Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA
DOI: 10.1109/AIPR.2005.14 Conference: Applied Imagery and Pattern Recognition Workshop, 2005. Proceedings. 34th Source: DBLP

Conference Paper: An automatic waveletbased nonlinear image enhancement technique for aerial imagery
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ABSTRACT: Recently we proposed a waveletbased dynamic range compression algorithm to improve the visual quality of digital images captured in the high dynamic range scenes with nonuniform lighting conditions. The fast image enhancement algorithm which provides dynamic range compression preserving the local contrast and tonal rendition is a very good candidate in aerial imagery applications such as image interpretation for defense and security tasks. This algorithm can further be applied to video streaming for aviation safety. In this paper the latest version of the proposed algorithm which is able to enhance aerial images so that the enhanced images are better then direct human observation, is presented. The results obtained by applying the algorithm to numerous aerial images show strong robustness and high image quality.Recent Advances in Space Technologies, 2009. RAST '09. 4th International Conference on; 07/2009 
Conference Paper: Fast and robust waveletbased dynamic range compression with local contrast enhancement.
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ABSTRACT: In this paper, a new waveletbased dynamic range compression algorithm is proposed to improve the visual quality of digital images captured in the high dynamic range scenes with nonuniform lighting conditions. Wavelet transform is used especially for dimension reduction such that a dynamic range compression with local contrast enhancement algorithm is applied only to the approximation coefficients which are obtained by lowpass filtering and downsampling the original intensity image. The normalized approximation coefficients are transformed using a hyperbolic sine curve and the contrast enhancement is realized by tuning the magnitude of the each coefficient with respect to surrounding coefficients. The transformed coefficients are then denormalized to their original range. The detail coefficients are also modified to prevent the edge deformation. The inverse wavelet transform is carried out resulting in a low dynamic range and contrast enhanced intensity image. A color restoration process based on relationship between spectral bands and the luminance of the original image is applied to convert the enhanced intensity image back to a color image.Visual Information Processing XVII, 18 March 2008, Orlando, Florida, USA; 01/2008  [Show abstract] [Hide abstract]
ABSTRACT: Recently, we proposed an enhancement technique for uniformly and nonuniformly illuminated dark images that provides high color accuracy and better balance between the luminance and the contrast in images to improve the visual representations of digital images. In this paper we define an improved version of the proposed algorithm to enhance aerial images in order to reduce the gap between direct observation of a scene and its recorded image.
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