In this paper, we propose a multi-scale DCS convolutional neural network (MS-DCSNet) in which we convert image signal using multiple scale-based wavelet ...

In this paper, we propose a multi-scale DCS convolutional neural network (MS-DCSNet) in which we convert image signal using multiple scale-based wavelet.

Feb 14, 2022 · Canh and Jeon26 proposed a multiscale CS network based on wavelet decomposition that can learn multiscale sampling and multiscale reconstruction ...

From visual comparison results, it is clearly show that our proposed MS-DCSNet produces the most pleasant visual quality.

With joint learning of the sampling and recovery, the deep learning-based compressive sensing (DCS) has shown significant improvement in performance and ...

This work proposes a multi-scale deep compressive imaging framework which jointly learns to decompose, sample, and reconstruct images at multi- scale, ...

Aug 15, 2022 · This paper proposes an adaptive multi-scale image CS network in wavelet domain called AMS-Net, which fully exploits the different importance of image low- ...

May 4, 2022 · We propose a multiscale progressive CS method for the high-resolution imaging. The progressive sampling refines the resolution of the image.

Sep 5, 2024 · This paper introduces a novel approach for compressed sensing image reconstruction, using multi-scale and attention mechanisms to enhance feature transmission ...

Aug 3, 2020 · While multi-scale has shown superior performance over single-scale, research in DCI has been limited to single-scale sampling. Despite training ...