Guided image filtering based ℓ0gradient minimization for limited-angle CT image reconstruction
نویسندگان
چکیده
منابع مشابه
An Adaptive Backpropagation Algorithm for Limited-Angle CT Image Reconstruction
Presented in this paper is a neural back propagation algorithm for reconstructing two-dimensional CT images from a small number of projection data. The paper extends the work in [1], in which a backpropagation algorithm is applied to the CT image reconstruction problem. The delta rule of the ordinary backpropagation algorithm is modified using a ‘secondary’ teaching signal and the ‘Resilient ba...
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Noise removing belongs to image restoration in digital image processing. It’s the essential guarantee of identifying image information and the reliable guarantee of making further image processing. A satisfying result can’t be found if processing method such as feature extraction, registration or image fusion is carried out on an image with noise. So removing noise is absolutely necessary for i...
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Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges. These filters are typically nonlinear and locally smooth the image structure while minimizing both blurring and over-sharpening of visually important edges. Here we present the Alternating Guided Filter (AGF) that achieves...
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ژورنال
عنوان ژورنال: Journal of Inverse and Ill-posed Problems
سال: 2021
ISSN: 1569-3945,0928-0219
DOI: 10.1515/jiip-2020-0096