Results 31 to 40 of about 46,419 (286)
Image fusion in the JPEG 2000 domain [PDF]
, 2006 This paper presents a novel approach to image fusion in the JPEG 2000 domain. In this scheme, compressed images are fused without the need for full decompression. The proposed method can be integrated with the existing JPEG 2000 tools.
Canga, EF, Canagarajah, CN, Bull, DR
core +1 more source
FDD-MEF: Feature-Decomposition-Based Deep Multi-Exposure Fusion
IEEE Access, 2021 Multi-exposure image fusion is an effective algorithm for fusing differently exposed low dynamic range (LDR) images to a high dynamic range (HDR) images.
Jong-Han Kim, Je-Ho Ryu, Jong-Ok Kim
doaj +1 more source
Multi-Exposure Fusion With Guidance Information: Night Color Image Enhancement for Roadside Units
IEEE Access, 2023 The computer vision-based roadside occupation surveillance system is a key infrastructure component of Cooperative Intelligent Transport Systems. However, traffic images captured under low-light conditions suffer from low visibility and unexpected noise.
Chen Yaqing, Wang Huaming
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Multi-exposure Image Fusion using Patch-based Component Decomposition
International Journal of Emerging Research in Engineering, Science, and Management, 2022 Multi exposure image fusion is always a challenge in task in image processing. The multiple images with the different image content, when mixed using a fusion formula generate different effects. One of the most prominent effects is ghosting effect. Ghost
Dharmika A, M Gnanapriya
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Efficient joint noise removal and multi exposure fusion.
PLoS ONE, 2022 Multi-exposure fusion (MEF) is a technique that combines different snapshots of the same scene, captured with different exposure times, into a single image.
Antoni Buades +2 more
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Gaussian of Differences: A Simple and Efficient General Image Fusion Method
Entropy, 2023 The separate analysis of images obtained from a single source using different camera settings or spectral bands, whether from one or more than one sensor, is quite difficult.
Rifat Kurban
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Multiresolution-based image fusion with additive wavelet decomposition [PDF]
, 1999 The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data.
Fors Aldrich, Octavi +8 more
core +1 more source
Exposure Interpolation for Two Large-Exposure-Ratio Images
IEEE Access, 2020 Existing multi-scale exposure fusion (MEF) algorithms which focus on defining weight maps to extract reliable information. However, they are difficult to preserve brightness order among over-exposed regions of a bright image and under-exposed regions of ...
Yi Yang +3 more
doaj +1 more source
Multi-Exposure Fusion of Gray Images Under Low Illumination Based on Low-Rank Decomposition
Remote Sensing, 2021 Existing multi-exposure fusion (MEF) algorithms for gray images under low-illumination cannot preserve details in dark and highlighted regions very well, and the fusion image noise is large. To address these problems, an MEF method is proposed.
Ting Nie +7 more
doaj +1 more source
IEEE Photonics Journal, 2019 Generally, the dynamic range of night vision scenes is large. Owing to the limited dynamic range of traditional low light imaging technology, the captured images are always partially overexposed or underexposed.
Guo Chen +4 more
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