Level Lines Selection with Variational Models for Segmentation and Encoding
Journal of Mathematical Imaging and Vision
Microprocessors & Microsystems
Preferential image segmentation using trees of shapes
IEEE Transactions on Image Processing
Histogram based segmentation using Wasserstein distances
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Shape-based Invariant Texture Indexing
International Journal of Computer Vision
An image contrast enhancement method based on genetic algorithm
Pattern Recognition Letters
A PDE formalization of retinex theory
IEEE Transactions on Image Processing
Tree-structured image difference for fast histogram and distance between histograms computation
Pattern Recognition Letters
Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction
SIAM Journal on Imaging Sciences
SIAM Journal on Imaging Sciences
Adaptive normalization based highly efficient face recognition under uneven environments
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Design of an efficient flexible architecture for color image enhancement
ACSAC'06 Proceedings of the 11th Asia-Pacific conference on Advances in Computer Systems Architecture
A new color image enhancement algorithm for camera-equipped mobile telephone
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Fourier implementation of Poisson image editing
Pattern Recognition Letters
Quality enhancement of direct volume rendered images
VG'07 Proceedings of the Sixth Eurographics / Ieee VGTC conference on Volume Graphics
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A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spurious objects and modifying the image information. The scheme is based on equalizing the histogram in all the connected components of the image, which are defined based both on the grey-values and spatial relations between pixels in the image, and following mathematical morphology, constitute the basic objects in the scene. We give examples for both grey-value and color images