Optimization of image coding algorithms and architectures using genetic algorithms
نویسندگان
چکیده
منابع مشابه
Optimization of image coding algorithms and architectures using genetic algorithms
AbstructThis paper addresses the application of genetic algorithm (GA)-based optimization techniques to problems in image and video coding, demonstrating the success of GA’s when used to solve real design problems with both performance and implementation constraints. Issues considered include problem representation, problem complexity, and fitness evaluation methods. For off-line problems, such...
متن کاملGlobal Optimization of GPS Augmentation Architectures using Genetic Algorithms
The prediction of augmented GPS performance for spread-out user locations requires analyses of both accuracy under normal conditions and integrity in the case of system failures. Methods that combine covariance propagation and Monte Carlo simulation for the Wide Area Augmentation System (WAAS) have been developed, allowing system designers to study performance, risk, and cost tradeoffs. This pr...
متن کاملPerceptual optimization of image coding algorithms
We show how a model of the human visual system (HVS) can be used for encoder based perceptual optimization of JPEG. The HVS model takes into account the effects of light sensitivity, frequency sensitivity, and masking effects and is based on a hierarchy of oriented band pass filters. The model can be used to calculate a local frequency sensitivity, which in turn can be used to calculate percept...
متن کاملOptimization of Cutting Parameters Based on Production Time Using Colonial Competitive (CC) and Genetic (G) Algorithms
A properly designed machining procedure can significantly affect the efficiency of the production lines. To minimize the cost of machining process as well as increasing the quality of products, cutting parameters must permit the reduction of cutting time and cost to the lowest possible levels. To achieve this, cutting parameters must be kept in the optimal range. This is a non-linear optimizati...
متن کاملOptimization of Cutting Parameters Based on Production Time Using Colonial Competitive (CC) and Genetic (G) Algorithms
A properly designed machining procedure can significantly affect the efficiency of the production lines. To minimize the cost of machining process as well as increasing the quality of products, cutting parameters must permit the reduction of cutting time and cost to the lowest possible levels. To achieve this, cutting parameters must be kept in the optimal range. This is a non-linear optimizati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Industrial Electronics
سال: 1996
ISSN: 0278-0046
DOI: 10.1109/41.538612