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Brief review of image denoising techniques 被引量:10

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摘要 With the explosion in the number of digital images taken every day,the demand for more accurate and visually pleasing images is increasing.However,the images captured by modern cameras are inevitably degraded by noise,which leads to deteriorated visual image quality.Therefore,work is required to reduce noise without losing image features(edges,corners,and other sharp structures).So far,researchers have already proposed various methods for decreasing noise.Each method has its own advantages and disadvantages.In this paper,we summarize some important research in the field of image denoising.First,we give the formulation of the image denoising problem,and then we present several image denoising techniques.In addition,we discuss the characteristics of these techniques.Finally,we provide several promising directions for future research.
出处 《Visual Computing for Industry,Biomedicine,and Art》 2019年第1期55-66,共12页 工医艺的可视计算(英文)
基金 This work is supported by NSFC Joint Fund with Zhejiang Integration of Informatization and Industrialization under Key Project(No.U1609218) the National Nature Science Foundation of China(No.61602277) Shandong Provincial Natural Science Foundation of China(No.ZR2016FQ12).
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