arXiv:1003.4053
A Comprehensive Review of Image Enhancement Techniques
원문 초록
Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper will provide an overview of underlying concepts, along with algorithms commonly used for image enhancement. The paper focuses on spatial domain techniques for image enhancement, with particular reference to point processing methods and histogram processing.
함께 살펴볼 논문
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HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement
MAC-Lookup: Multi-Axis Conditional Lookup Model for Underwater Image Enhancement
Learning to See in the Extremely Dark
RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement
URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration
See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction
토론
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