Byungin Moon

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Stereo matching is one of the most active research areas in intelligent vehicle technology. In order to apply the stereo matching to intelligent vehicles, it must generate high-accuracy three-dimensional information in real time. For real-time stereo matching, this paper proposes a sparse multi-window method which not only gives robustness to noise but also(More)
This paper presents comprehensive design and analysis results of 3D IC-based low-power stereo matching processors. Our design efforts range from architecture design and verification to RTL-to-GDSII design and sign-off analysis based on GlobalFoundries 130-<i>nm</i> PDK. We conduct comprehensive studies on the area, performance, and power benefits of our 3D(More)
In this paper, we propose a new stereo matching hardware architecture based on the ADCensus stereo matching algorithm that produces accurate disparity map. The proposed stereo matching hardware architecture is fully pipelined and processes images with disparity level parallelism in real time. Also, it uses modulo memory addressing methods for reducing the(More)
In the digital system where safety is a major issue, the reliability issue has been more important. However, as the circuit design has been more complicated, the number of errors which escaped from the pre-silicon verification has been increased and the undetected errors have a bad influence upon reliability. To solve this problem, an online test and debug(More)
Stereo matching is a vision technique for finding three-dimensional (3D) distance information in various multimedia applications by calculating pixel disparities between the matching points of a stereo image pair captured from a stereo camera. The most important considerations in stereo matching are highly accurate results and real-time performance. Thus,(More)
The main objective of fog removal algorithm is to estimate the airlight map for the given image and then perform the necessary operations on the image in order to overcome the fog in the image and enhance the quality of the image. The dark channel prior method of fog removal is more suitable and time-saving in real-time systems. In this paper, an efficient(More)