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Properties on n-dimensional convolution for image deconvolution

2017-11-30 · Song Yizhi, Xu Cheng, Ding Daoxin, Zhou Hang, Quan Tingwei, Li Shiwei

Convolution system is linear and time invariant, and can describe the optical imaging process. Based on convolution system, many deconvolution techniques have been developed for optical image analysis, such as boosting the space resolution of optical images, image denoising, image enhancement and so on. Here, we gave properties on N-dimensional convolution. By using these properties, we proposed image deconvolution method. This method uses a series of convolution operations to deconvolute image. We demonstrated that the method has the similar deconvolution results to the state-of-art method. The core calculation of the proposed method is image convolution, and thus our method can easily be integrated into GPU mode for large-scale image deconvolution.

📄 PDF Abstract BibTeX arXiv:1711.11224

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DenoisingGPUImage DeconvolutionImage DenoisingImage Enhancement

Methods 이 논문이 사용한 방법론

Convolution A convolution is a type of matrix operation, consisting of a kernel, a small matrix of weights, that slides over input data performing element-wise multiplication with the…

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