Abstract Self-similarity refers to the image prior widely used in restoration algorithms that small but similar patterns tend occur at different locations and scales. However, recent advanced deep convolutional neural network-based methods for do not take full advantage of self-similarities by relying on self-attention modules only process information same scale. To solve this problem, we prese...

Images acquired with a telescope are blurred and corrupted by noise. The blurring is usually modelled convolution the Point Spread Function noise Additive Gaussian Noise. Recovering observed image an ill-posed inverse problem. Sparse deconvolution well known to be efficient technique, leading optimized pixel Mean Square Errors, but without any guarantee that shapes of objects (e.g. galaxy image...

Over the last few years an enormous amount of research has been devoted to restore astronomical images, but not much work has been reported on the use of multichannel techniques to restore such images. In this work, we rst brieey summarize the research carried out on image restoration within the Converging Computing Methodologies network and then concentrate on the multichannel image restoratio...

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