A novel hybrid approach of ABC with SCA for the parameter optimization of SVR in blind image quality assessment.
Chunquan LiYonghua HeDian XiaoZu LuoJinghui FanPeter X. LiuPublished in: Neural Comput. Appl. (2022)
Keyphrases
- parameter optimization
- blind image quality assessment
- adaptive differential evolution
- support vector regression
- support vector machine
- differential evolution
- genetic algorithm ga
- image quality
- natural scene statistics
- genetic algorithm
- parameter estimation
- parameter settings
- regression model
- image quality assessment
- feature selection
- pid controller
- support vector
- support vector machine svm
- feature vectors
- evolutionary algorithm
- visual quality
- genetic programming
- quality assessment
- knn
- fitness function
- particle swarm optimization
- machine learning