Proceedings ArticleDOI
A fast low-light multi-image fusion with online image restoration
Young-Su Moon,Shihwa Lee,Yong-Min Tai,Jung Uk Cho +3 more
- pp 346-347
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TLDR
A new low-light multi-frame fusion algorithm to get a bright and clear shot even under dark conditions is presented, using multiple short-exposure images and one proper-ex exposure blurry image as an input.Abstract:
This paper presents a new low-light multi-frame fusion algorithm to get a bright and clear shot even under dark conditions. To this end, using multiple short-exposure images and one proper-exposure blurry image as an input, a new hierarchical block-wise temporal noise filtering is done. Finally, an online image restoration of the denoising result is conducted along with the blurry image input. Test results on real low-light scene show its effectiveness like fast processing speed and satisfactory visual quality.read more
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Adaptive Image Enhancement Based on Guide Image and Fraction-Power Transformation for Wireless Capsule Endoscopy
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Guide image based enhancement method for wireless capsule endoscopy
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A fast spatiotemporal denoising scheme for multi-shot images
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A ghost-free pseudo-multiframe HDR
TL;DR: A ghosts-free pseudo-multiframe (MF) high dynamic range (HDR) algorithm inputting real on-site multiple exposures that can provide more realistic color appearance and details even at low light situations is presented.
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Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
TL;DR: This paper proposes a novel framework, namely Attentive Cross-modal Interaction Network with Motion Enhancement (MEACI-Net), which follows the two-stream architecture and strengthens the interaction between the two streams by introducing the Selective Motion Complement and Cross-Modality Augment modules.
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