Scanning acoustic microscopy (SAM) is a label-free imaging technique used in biomedical
imaging, non-destructive testing, and material research to visualize surface and sub-surface …

Image denoising can remove natural noise that widely exists in images captured by
multimedia devices due to low-quality imaging sensors, unstable image transmission …

In this paper, we propose a new deep network architecture named deep boosting denoising
net (DBDnet) for image denoising. It is a residual learning network that can generate a noise …

Although hyperspectral image (HSI) classification methods have gained popularity in the
remote sensing community, their performance tends to be limited by the quantity and quality …

Recently, supervised deep-learning methods have shown their effectiveness on raw video
denoising in low-light. However, existing training datasets have specific drawbacks, eg …

Early detection of lung cancer is critical for improvement of patient survival. To address the
clinical need for efficacious treatments, genetically engineered mouse models (GEMM) have …

Existing superpixel segmentation algorithms mainly focus on natural image with high-
quality, while neglecting the inevitable environment constraint in complex scenes. In this …

Abstract Principal Component Analysis (PCA) has been widely used for dimensionality
reduction and feature extraction. Robust PCA (RPCA), under different robust distance …

In recent years, significant advancements have been achieved in the exploration of oil and
gas reserves within carbonate rock formations, particularly with respect to the considerable …

In order to study the needs of identifying rock thin‐section samples by manual observation in
the field of geology, a method of electrochemical intelligent recognition of mineral materials …