NDLI: Multi-exposure image fusion technique using multi-resolution blending

Content Provider	IET Digital Library
Author	Hayat, Naila Imran, Muhammad
Abstract	This study proposes a multi-exposure image fusion (MEF) technique that takes multi-exposure input images and produces a high-quality output image without any artefacts. The proposed technique consists of four steps. In the first step, three quality measures (contrast, saturation, and well exposedness) are measured. Secondly, the colour dissimilarity approach is used to detect moving objects. Thirdly, the authors calculate the weight maps using three quality measures (contrast, saturation, and well exposedness) and colour dissimilarity feature. Finally, the fused image is generated using the multi-resolution blending utilising pyramid decomposition. The vital advantage of the proposed technique is that it blends the multi-exposure images very well and avoids the seams effectively. The method can be used for consumer cameras as the presented technique is quite fast. Experimental results prove that the proposed method produces high dynamic range images without ghost artefacts. Furthermore, the comparison, objectively and subjectively, of the proposed technique in terms of mutual information, MEF structural similarity index, and natural image quality evaluator, with state-of-the-art techniques, shows significant improvement of the proposed scheme over existing techniques.
Starting Page	2554
Ending Page	2561
Page Count	8
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 13, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0438
Journal	IET Image Processing
Publisher Date	2019-09-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Camera Colour Dissimilarity Approach Computer Vision And Image Processing Technique Consumer Cameras High Dynamic Range Image High-quality Output Image Image Colour Analysis Image Fusion Image Resolution Image Sonsor MEF Structural Similarity Index Moving Object Detection Multiexposure Image Fusion Technique Multiexposure Input Image Multiresolution Blending Natural Image Quality Evaluator Object Detection Optical, Image And Video Signal Processing Pyramid Decomposition Quality Measures Sensor Fusion Weight Maps
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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