Publications
Talk · International Conference on Information Science and Communications Technologies · November 3, 2021
Improvement of the Algorithm for Nonlinear Adaptive Image Contrast Enhancement Based on the Theory of Fuzzy Sets
Sayyora Iskandarova, Ilhom Boynazarov
Abstract
Currently, primary image processing is used to improve recognition results. In this paper, improvements have been performed using normalization and phasing operations to increase image contrast. A normalized histogram has been also built. Mathematical expectations have been built for normalized and fuzzy image contrast enhancements. Shannon's entropy has been represented as fuzzy. Results of image sharpening have been presented and advantages over other algorithms have been indicated in the paper.
Image Enhancement TechniquesImage Processing Techniques and ApplicationsAdvanced Image Processing Techniquesimage contrast enhancementfuzzy setsnonlinear adaptive filtering
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