What is he best known for?
The fields of study Wen-Hsiang Tsai is best known for:
- Algorithm
- Pixel
- Statistics
Steganography overlaps with fields such as Digital watermarking and Pixel in his research.
Wen-Hsiang Tsai performs multidisciplinary study on Pixel and Steganography in his works.
Wen-Hsiang Tsai undertakes multidisciplinary investigations into Artificial intelligence and Information retrieval in his work.
Wen-Hsiang Tsai merges Information retrieval with Artificial intelligence in his study.
His research on Image (mathematics) often connects related topics like Digital watermarking.
By researching both Computer vision and Image processing, Wen-Hsiang Tsai produces research that crosses academic boundaries.
He regularly links together related areas like Image (mathematics) in his Image processing studies.
In his study, Wen-Hsiang Tsai carries out multidisciplinary Algorithm and Computer graphics (images) research.
Wen-Hsiang Tsai merges many fields, such as Computer graphics (images) and Computer vision, in his writings.
His most cited work include:
- A steganographic method for images by pixel-value differencing (922 citations)
- Moment-preserving thresolding: A new approach (762 citations)
- Secret image sharing with steganography and authentication (420 citations)
What are the main themes of his work throughout his whole career to date
A significant part of his Image (mathematics) research incorporates Image processing and Information hiding studies.
In most of his Image processing studies, his work intersects topics such as Image (mathematics).
Wen-Hsiang Tsai is involved in relevant fields of research such as Line (geometry) and Orientation (vector space) in the field of Geometry.
Borrowing concepts from Geometry, he weaves in ideas under Line (geometry).
Artificial intelligence is often connected to Pattern recognition (psychology) in his work.
Pattern recognition (psychology) and Artificial intelligence are frequently intertwined in his study.
Wen-Hsiang Tsai integrates several fields in his works, including Computer vision and Computer graphics (images).
Wen-Hsiang Tsai performs integrative study on Computer graphics (images) and Computer vision in his works.
Wen-Hsiang Tsai merges Algorithm with Statistics in his study.
Wen-Hsiang Tsai most often published in these fields:
- Artificial intelligence (89.36%)
- Computer vision (68.09%)
- Image (mathematics) (53.19%)
What were the highlights of his more recent work (between 2013-2018)?
- Artificial intelligence (62.50%)
- Computer vision (50.00%)
- Gerontology (25.00%)
In recent works Wen-Hsiang Tsai was focusing on the following fields of study:
His study looks at the relationship between Physical examination and topics such as Surgery, which overlap with Knee Joint.
Hazard ratio and Lower risk are inherently bound to his Confidence interval studies.
Wen-Hsiang Tsai combines Hazard ratio and Confidence interval in his studies.
Artificial intelligence is closely attributed to Camouflage in his study.
His study ties his expertise on Artificial intelligence together with the subject of Camouflage.
By researching both Computer vision and Computer graphics (images), he produces research that crosses academic boundaries.
Wen-Hsiang Tsai undertakes multidisciplinary studies into Computer graphics (images) and Computer vision in his work.
In his research, he performs multidisciplinary study on Gerontology and Demography.
Wen-Hsiang Tsai undertakes interdisciplinary study in the fields of Demography and Gerontology through his works.
Between 2013 and 2018, his most popular works were:
- A New Secure Image Transmission Technique via Secret-Fragment-Visible Mosaic Images by Nearly Reversible Color Transformations (65 citations)
- A Convenient Vision-Based System for Automatic Detection of Parking Spaces in Indoor Parking Lots Using Wide-Angle Cameras (42 citations)
- Image Fusion With No Gamut Problem by Improved Nonlinear IHS Transforms for Remote Sensing (35 citations)
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