Extending attribute filters to color processing and multi-media applications
PhD ceremony: Ms. F.B. Tushabe, 14.45 uur, Academiegebouw, Broerstraat 5, Groningen
Thesis: Extending attribute filters to color processing and multi-media applications
Promotor(s): prof. N. Petkov
Faculty: Mathematics and Natural Sciences
In this work, connected attribute filters are implemented using the Max-tree approach and extended to aid color image processing using two new approaches. The first one builds the tree based on luminance, saturation, chromaticity or their combinations. The image is then filtered and the color image reconstructed by assigning the remaining structures their original colors. When these methods are applied to a traffic signs recognition problem, the results show an automatic sign recognition of 85%.
The second approach reconstructs the color image using three new restitution rules which have all resulted in an improvement in color fidelity. Comparison with an earlier method show that the proposed methods result in quality improvement by as much as 15%.
This work also proposes filters that improve compression results in terms of file size and image quality. They remove psycho-visually redundant data from an image by mimicking how the human visual system works and have been found to modify as much as 35 – 40% of the image contents without causing visual losslessness.
A filter that improves content-base image retrieval for general purpose vacation pictures is also proposed. It has a high object discriminating power and is scale, rotation and translation invariant. Finally, the effect of applying five attribute filters on a watermarked image has been investigated. When subjected to seven watermarking algorithms, 92% of the filtered images detected the embedded watermarks.This means that attribute filtering is a largely safe and robust procedure as a pre-processing method for any given application.
Last modified: | 13 March 2020 01.14 a.m. |
More news
-
29 April 2025
Impact | Rubber recycling
In the coming weeks the nominees for the Ben Feringa Impact Award 2025 will introduce themselves and their impactful research or project. This week: Francesco Picchioni on his innovative way to recycle rubber.
-
29 April 2025
Impact | Improving Human-AI Decision-Making in healthcare
In the coming weeks the nominees for the Ben Feringa Impact Award 2025 will introduce themselves and their impactful research or project. This week: Andra Cristiana Minculescu on her research project on Human-AI Decision-Making in healthcare.
-
28 April 2025
Engineering Smart Decisions for a Dynamic World
Dynamical systems, i.e. mathematical models that describe how things evolve over time, are at the heart of much of the modern world. The real challenge, however, lies in shaping the systems’ behaviour to achieve a specific goal.