A New Fuzzy Additive Noise Reduction Method

In this paper we present a new alternative noise reduction method for color images that were corrupted with additive Gaussian noise. We illustrate that color images have to be processed in a different way than most of the state-of-the-art methods. The proposed method consists of two sub-filters. The main concern of the first subfilter is to distinguish between local variations due to noise and local variations due to image structures such as edges. This is realized by using the color component distances instead of component differences as done by most current filters. The second subfilter is used as a complementary filter which especially preserves differences between the color components. This is realized by calculating the local differences in the red, green and blue environment separately. These differences are then combined to calculate the local estimation of the central pixel. Experimental results show the feasibility of the proposed approach

A human-pet interactive entertainment system over the internet

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)3166509-51

Augmented Reality Post-It system

ACM International Conference Proceeding Series74359

3-D live: Real time interaction for mixed reality

Proceedings of the ACM Conference on Computer Supported Cooperative Work364-371PCCC

Multisensory musical entertainment systems

10.1109/MMUL.2004.13IEEE Multimedia11388-101IEMU

Live three-dimensional content for augmented reality

10.1109/TMM.2005.846787IEEE Transactions on Multimedia73514-523ITMU

Human Pacman: A wide area socio-physical interactive entertainment system in mixed reality

10.1145/985921.985932Conference on Human Factors in Computing Systems - Proceedings779-78

Digital holographic three-dimensional display of 50-Mpixel holograms using a two-axis scanning mirror device

10.1117/1.3309476Optical Engineering492-OPEG

Prediction of LIN communication robustness against EFT events using dedicated failure models

International audienceDuring its life, an automotive application can encounter several perturbations such as fast transient of ESD discharges. In this paper, we propose a LIN transceiver behavior model to predict both hard and soft failures within a communication link. The proposed model, extracted from measurements, is implemented into simulation as a failure block. We will show that depending on the output state of the LIN, the data reading behavior could be different. Using such model, corrections at system level can be implemented to avoid failures