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Quantum Genetic Algorithm and Its Application on Image Auto-adaptive Optimization

Author: HuangZuo
Tutor: WangShiTong
School: Jiangnan University
Course: Computer Applications
Keywords: Genetic Algorithms Quantum computing Quantum Genetic Algorithm Quantum revolving door Image Enhancement Grayscale images
CLC: TP18
Type: Master's thesis
Year: 2005
Downloads: 391
Quote: 4
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Abstract


The image enhancement is the original unclear image becomes clear or stressed out certain features that we are interested in , in order to improve the image of the visual effects , or facilitate other processing on the image . The nonlinear transformation of the grayscale image is an effective image enhancement method, that the method different gradation characteristics of image using different non - linear transformation curve to be adjusted . Normalized non - fully Beta function can be fitted a variety of non - linear transformation curve for image adjustment , and the different parameter values ??respectively corresponding to different types of image the nonlinear transformation curve , but usually to determine the function parameters needed exhaustive method and manual method , computationally demanding and intelligence . Quantum genetic algorithm is a new optimization algorithm combining quantum computation and genetic algorithms . Quantum genetic algorithm to establish the basis of quantum state vector represented the probability amplitude of the qubit chromosome coding used in genetic algorithms , making a chromosome can express multiple superposition and quantum logic gates instead of genetic manipulation the chromosome updates in order to achieve the goal of solving the optimization , higher than the genetic algorithm search efficiency . In this paper, quantum genetic algorithm for grayscale images nonlinear transformation function parameters adaptive selection . The experiments show that the quantum genetic algorithm has a powerful search capability , according to the nature of image gray , it can get the better of the non-linear transformation curve , the grayscale image adaptive enhancement .

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