Sang-Gi Hong

Robust in-situ vehicle detection algorithm with acoustic transition bandpass filter

In limited energy of wireless sensor networks, energy-efficiency is an important issue related to computation complexity and communication frequency. This paper proposes algorithm for vehicle detection using low complexity transition filter based on hardware and software acoustic signal processing. Performance results of the proposed algorithm are evaluated using developed sensor nodes. The proposed algorithm presents the energy consumption as well as analysis a communication frequency of the algorithm. The results of these analyses demonstrate that VoM based in-situ processing holds the potential to meet the needs of future advanced surveillance system in a scalable fashion.

Digital TV image quality improvement considering distributions of edge characteristic

Sharpness enhancement is widely used technique for improving the perceptual quality of an image by emphasizing its high-frequency component. In this paper, a psychophysical experiment is conducted by the 20 observers with simple linear unsharp masking for sharpness enhancement. The experimental result is extracted using z-score analysis and linear regression. Finally using this result we suggest observer preferable sharpness enhancement method for digital television.