CAJ | 학술논문

图像复原是图像处理中一个重要的研究课题.大部分图像复原算法,都只是单纯地利用图像灰度或梯度信息,并没有考虑图像的空间结构信息.Roth等人提出的专家场模型,采用固定的,通过学习得到的滤波器,虽然能充分地表现图像空间结构信息,但它不具有自适应特性.提出了一个空间结构自适应的专家场模型,它能够依据图像的结构信息自适应地调整所使用的滤波器.主要利用图像边缘方向来设计专家场模型中的滤波器,能够依据边缘方向自适应调整.在图像去噪中使用这个新的专家场模型,能够自适应地根据图像空间结构信息,实施不同程度的复原处理.实验结果分析表明,新专家场模型改善了图像复原质量,它的性能也优于传统的专家场模型.
도상복원시도상처리중일개중요적연구과제.대부분도상복원산법,도지시단순지이용도상회도혹제도신식,병몰유고필도상적공간결구신식.Roth등인제출적전가장모형,채용고정적,통과학습득도적려파기,수연능충분지표현도상공간결구신식,단타불구유자괄응특성.제출료일개공간결구자괄응적전가장모형,타능구의거도상적결구신식자괄응지조정소사용적려파기.주요이용도상변연방향래설계전가장모형중적려파기,능구의거변연방향자괄응조정.재도상거조중사용저개신적전가장모형,능구자괄응지근거도상공간결구신식,실시불동정도적복원처리.실험결과분석표명,신전가장모형개선료도상복원질량,타적성능야우우전통적전가장모형.
Image restoration is an important research subject in image processing.Image gray or gradient magnitude is used in most of image restoration algorithm and spatial information is not adopted.A Field of Experts(FoEs) model which Roth et al pre-sented adopts some fixed filters by learning.These falters can throughly characterize image spatial information,but it is not adap-tive.In this paper,a spatially adaptive FoEs model is presented,which can adaptively adjust own fdters to image spatial informa-tion.In FoEs model,filters are designed according to image edge direction and can be adaptively adjusted.When the new FoEs model is used for image denoising,varying restoration processing is adopted according to image spatial information.The results show that the new FoEs model significantly improves the image restoration quality and its performance is over traditional FoEs model's.