شماره ركورد كنفرانس :
1730
عنوان مقاله :
Image Super-Resolution Based on Honey-Bee Mating Optimization Algorithm
عنوان به زبان ديگر :
Image Super-Resolution Based on Honey-Bee Mating Optimization Algorithm
پديدآورندگان :
Sarmadi Saeideh نويسنده , Soroushmehr S.M. Reza نويسنده , Samavi Shadrokh نويسنده
تعداد صفحه :
5
كليدواژه :
Honey-Bee mating optimization , super-resolution , optimization algorithm , RESOLUTION , registration
سال انتشار :
2012
عنوان كنفرانس :
بيستمين كنفرانس مهندسي برق ايران
زبان مدرك :
فارسی
چكيده لاتين :
Super-resolution image reconstruction is a technique to reconstruct a high resolution image from a set of blurred and noisy low resolution images of a scene. Over recent yearsdifferent methods have been introduced to increase the resolution of an image. Optimization algorithms based on swarmintelligencehave been developed and applied to various engineering fields for several decades. Process of honey bee mating has been considered as an optimization method based oninsects behavior. In this paper, we propose a super-resolution method using honey bee mating optimization algorithm. Theexperimental results show better performance of the proposed algorithm as compared with some other super-resolution methods
شماره مدرك كنفرانس :
4460809
سال انتشار :
2012
از صفحه :
1
تا صفحه :
5
سال انتشار :
2012
لينک به اين مدرک :
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