You are invited to attend our next UW CPAMI Graduate Seminar, which will include two presentations.
Kede Ma will speak on “Perceptual evaluation of multi-exposure image fusion algorithms”.
Sepideh Seifzadeh will speak on “High-level Information Fusion for Constrained SMC Methods and Applications”.
All are welcome to attend!
*Refreshments will be provided
Perceptual evaluation of multi-exposure image fusion
algorithms
Abstract :
Multi-exposure image fusion is considered an effective and efficient quality
enhancement technique widely adopted in consumer electronics products.
Nevertheless, little work has been dedicated to the quality assessment of fused images created from natural images captured at multiple exposure levels. In this work, we first build a database that contains source input images with multiple exposure levels together with fused images generated by both classical and state-of-the-art image fusion algorithms. We then carry out a subjective user study using a multi-stimulus scoring approach to evaluate and compare the quality of the fused images. Considerable agreement between human subjects has been observed.
Our results also show that existing objective image quality models developed for image fusion applications either poorly or only moderately correlate with subjective opinions.
For more information, please refer to the pdf file: High-level_Information_Fusion.pdf
High-level Information Fusion for Constrained SMC Methods and Applications
Abstract :
Information Fusion is a field that studies processes utilizing data from various input sources, and techniques exploiting this data to produce estimates and knowledge about objects and situations. On the other hand, human computation is a new and evolving research area that uses human intelligence to solve computational problems that are beyond the scope of existing artificial intelligence algorithms. In previous systems, humans' role was mostly restricted for analysing a finished fusion product; however, in the current systems the role of humans is an integral element in a distributed framework, where many tasks can be accomplished by either humans or machines. Moreover, some information can be provided only by
humans, because the observational capabilities and opportunities for traditional electronic (hard) sensors are limited.
For more information, please refer to the pdf file:
Perceptual_Evaluation.pdf