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Image fusion-based tone mapping using gaussian mixture model clustering
Wang Un Lee
, Seung Park
,
Sung Jea Ko
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
6
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Citations (Scopus)
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Dive into the research topics of 'Image fusion-based tone mapping using gaussian mixture model clustering'. Together they form a unique fingerprint.
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Keyphrases
Image Fusion
100%
Gaussian Mixture Clustering
100%
Tone Mapping
100%
High Dynamic Range Imaging
75%
Mapping Method
50%
Low Dynamic Range Image
50%
Local Details
50%
High Performance
25%
State-of-the-art Techniques
25%
Local Contrast
25%
Compress
25%
Clustering Algorithm
25%
Output Image
25%
Image Fusion Algorithm
25%
Dynamic Range
25%
Display Devices
25%
Mapping Algorithm
25%
Transformation Function
25%
Dynamic Compression
25%
Global Transformation
25%
Contrast Enhancement Techniques
25%
Luminance Histogram
25%
Brightness Adjustment
25%
Detail Preservation
25%
Locally Adaptive
25%
Computer Science
Image Fusion
100%
Gaussian Mixture Model
100%
Tone Mapping
100%
High Dynamic Range Image
75%
Experimental Result
25%
Local Contrast
25%
Clustering Algorithm
25%
Mapping Algorithm
25%
Image Fusion Technique
25%
Display Devices
25%
Engineering
Gaussian Mixture Model
100%
Dynamic Range
100%
Image Fusion
100%
Mapping Method
28%
Histogram
14%
Experimental Result
14%
State-of-the-Art Method
14%
Local Contrast
14%
Output Image
14%
Conventional Display
14%
Clustering Algorithm
14%
Image Fusion Technique
14%