Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances InSAR restoration. These generally follow nonlocal filtering processing chain aiming at circumventing staircase effect preserving details variations. In this paper, we propose an alternative approach restoration, i.e. Complex Convolutional Sparse Codi...

Ground-penetrating radar (GPR), as a non-invasive instrument, has been widely used in civil engineering. In GPR B-scan images, there may exist random noise due to the influence of environment and equipment hardware, which complicates interpretability useful information. Many methods have proposed eliminate or suppress noise. However, existing an unsatisfactory denoising effect when image is sev...

In plug-and-play (PnP) regularization, the knowledge of forward model is combined with a powerful denoiser to obtain state-of-the-art image reconstructions. This typically done by taking proximal algorithm such as FISTA or ADMM, and formally replacing map associated regularizer nonlocal means, BM3D CNN denoiser. Each iterate resulting PnP involves some kind inversion followed denoiser-induced r...

The quality of potted seedlings has an important influence on the yield vegetables during seedling raising and transplanting. inconsistency after transplanting is main factor causing decline in vegetable yield. To eliminate or reduce this influence, health test before particularly to ensure crop In study, image recognition technology based machine vision proposed. It a multi-feature method for ...

The coronavirus spread rapidly in the world and caused disease of Covid-19. proposed research was conducted with aim classifying people Covid-19 from other people. Among all imaging modalities, lung ultrasound images were used to diagnose covid-19. open source Point-Care-of-Ultrasound (POCUS) database collected, which contained 59 Lung Ultrasound (LUS) images. In this research, KNN classifier K...

The Recently proposed Vector Approximate Message Passing (VAMP) algorithm demonstrates a great reconstruction potential at solving compressed sensing related linear inverse problems. VAMP provides high per-iteration improvement, can utilize powerful denoisers like BM3D, has rigorously defined dynamics and is able to recover signals measured by highly undersampled ill-conditioned operators. Yet,...

This paper presents a new approach for the enhancement of Synthetic Radar Imagery using Discrete Wavelet Transform and its variants. Some of the approaches like nonlocal filtering (NLF) techniques, and multiscale iterative reconstruction (e.g., the BM3D method) do not solve the RE/SR imaging inverse problems in descriptive settings imposing some structured regularization constraints and exploit...

Recently Burger et al. (2012) and Xie et al. (2012) proposed to use a denoising autoencoder (DAE) for denoising noisy images. They showed that a plain, deep DAE can denoise noisy images as well as the conventional methods such as BM3D and KSVD. Both of them approached image denoising by denoising small, image patches of a larger image and combining them to form a clean image. In this setting, i...

Image denoising is an important first step to provide cleaned images for follow-up tasks such as image segmentation and object recognition. Many image denoising filters have been proposed, with most of the filters focusing on one particular type of additive or multiplicative noise. In this article, we propose a novel neighborhood regression approach. Using the neighboring pixels as predictors, ...

Hyperspectral imaging technology has been used for geological analysis for many years wherein mineral mapping is the dominant application for hyperspectral images (HSIs). The very high spectral resolution of HSIs enables the identification and the diagnosis of different minerals with detection accuracy far beyond that offered by multispectral images. However, HSIs are inevitably corrupted by no...