4 accepted papers
In the coded aperture snapshot spectral imaging system, Deep Unfolding Networks (DUNs) have made impressive progress in recovering 3D hyperspectral images (HSIs) from a single 2D measurement. However, the inherent nonlinear and ill-posed characteristics of HSI reconstruction still pose challenges t…
Image inpainting is in full bloom accompanied by the progress of convolutional neural networks (CNNs) and transformers, revolutionizing the practical management of abnormity disposal, image editing, etc. However, due to the ever-mounting image resolutions and missing areas, the challenges of distort…
Building change detection of remote sensing images is in full flourishing accompanied by the prosperity of convolutional neural networks. For spatial-temporal context modeling, existing solutions disregard the inter-image interactions, albeit their positive contribution to the acquisition of differe…
Most research on Low-dose Computed Tomography (LDCT) reconstruction is designed as a black box, lacking controllability and interpretability. In this paper, a Proximal Linear ADMM framework-based Generative Adversarial Network (PLA-GAN) is proposed. Specifically, without loss of interpretability, ch…