专题：Image Processing Techniques and Applications

This cluster of papers focuses on the development and evaluation of autofocusing algorithms for microscopy and digital cameras, with applications in depth estimation, shape reconstruction, and tuberculosis detection. It also explores techniques such as shape from focus, defocus, and image processing methods for accurate autofocusing in various imaging systems.
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Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

conference-paper Full Text OpenAlex 1275 FWCI266.91

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

article Full Text OpenAlex 1093 FWCI75.4697

U-Shape Transformer for Underwater Image Enhancement

article Full Text OpenAlex 926 FWCI82.3433

Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement

article Full Text OpenAlex 895 FWCI54.4996

Depth Anything V2

conference-paper Full Text OpenAlex 637 FWCI133.1697

Automated Indent Scanning: Artificial intelligence assisted scanning of large regular and irregular nanoindentation arrays in scanning electron microscopes

software Full Text OpenAlex 595 FWCI0

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

conference-paper Full Text OpenAlex 425 FWCI88.8495

Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

conference-paper Full Text OpenAlex 406 FWCI43.7526

Deep Image Deblurring: A Survey

article Full Text OpenAlex 393 FWCI25.5325

LABKIT: Labeling and Segmentation Toolkit for Big Image Data

article Full Text OpenAlex 357 FWCI27.0311