Fundamentals of digital image processing
Fundamentals of digital image processing
A multiscale morphological approach to local contrast enhancement
Signal Processing
Digital Image Processing
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Photometric Normalisation for Component-based Face Verification
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Perception-based contrast enhancement of images
ACM Transactions on Applied Perception (TAP)
Flat zones filtering, connected operators, and filters by reconstruction
IEEE Transactions on Image Processing
Information Sciences: an International Journal
Morphological contrast index based on the Weber's law
International Journal of Imaging Systems and Technology
Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients
Digital Signal Processing
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In this paper, some morphological transformations are used to detect the background in images characterized by poor lighting. Lately, contrast image enhancement has been carried out by the application of two operators based on the Weber's law notion. The first operator employs information from block analysis, while the second transformation utilizes the opening by reconstruction, which is employed to define the multibackground notion. The objective of contrast operators consists in normalizing the grey level of the input image with the purpose of avoiding abrupt changes in intensity among the different regions. Finally, the performance of the proposed operators is illustrated through the processing of images with different backgrounds, the majority of them with poor lighting conditions.