LCIS: a boundary hierarchy for detail-preserving contrast reduction
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A tone mapping algorithm for high contrast images
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
An Adaptive and Non Linear Technique for Enhancement of Extremely High Contrast Images
AIPR '06 Proceedings of the 35th Applied Imagery and Pattern Recognition Workshop
Properties and performance of a center/surround retinex
IEEE Transactions on Image Processing
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Filtering vs. nonlinear estimation procedures for image enhancement
WSEAS Transactions on Computers
Adaptive thresholding of DFT coefficients based on probability distribution of additive noise
WSEAS Transactions on Signal Processing
WSEAS Transactions on Signal Processing
A neighborhood dependent nonlinear technique for color image enhancement
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
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An innovative technique for the enhancement of digital color images captured under extremely non-uniform lighting conditions is proposed in this paper. The key contributions of this technique are adaptive intensity enhancement, contrast enhancement and color restoration. Simultaneous enhancement of extreme dark and bright intensity regions in an image is performed by a specifically designed Locally Tuned Sine Non-Linear (LTSN) function. The intensity of each pixel's magnitude is tuned based on its surrounding pixels to accomplish contrast enhancement. Retrieval of the color information from the enhanced intensity image is achieved by a linear color restoration process which is based on the chromatic information of the input image. Experimental evaluations show that the proposed algorithm can be effectively used for improving the visibility of night time surveillance video sequences with frames having extreme bright and dark regions.