Dr. Min Wu Profile

Dr. Min Wu

PhD Student at Univ of Missouri/Columbia

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Publications (6)

Proceedings Article | 14 March 2005 Paper

Visualization of medical images over mobile wireless handheld devices

Min Wu, Khurana Ashish, Nadar Mariappan, Chang Wen Chen

Proceedings Volume 5684, (2005) https://doi.org/10.1117/12.591835

KEYWORDS: Image compression, Visualization, Image visualization, Mobile devices, Image transmission, Medical imaging, Image processing, Visual compression, Forward error correction, Wireless communications

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Proceedings Article | 14 March 2005 Paper

Multiple description distributed image coding with side information for mobile wireless transmission

Min Wu, Daewon Song, Chang Wen Chen

Proceedings Volume 5685, (2005) https://doi.org/10.1117/12.597084

KEYWORDS: Wavelets, Computer programming, Image compression, Remote sensing, Receivers, Quantization, Distortion, Wave propagation, Data compression, Error control coding

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Proceedings Article | 25 October 2004 Paper

Multiple-description image coding with distributed source coding and side information

Min Wu, Anthony Vetro, Chang Wen Chen

Proceedings Volume 5600, (2004) https://doi.org/10.1117/12.577069

KEYWORDS: Computer programming, Image compression, Data compression, Distortion, Receivers, Wavelets, Remote sensing, Error control coding, Quantization, Image quality

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Proceedings Article | 18 January 2004 Paper

Collaborative image transmission over wireless sensor networks

Min Wu, Chang Chen

Proceedings Volume 5308, (2004) https://doi.org/10.1117/12.538284

KEYWORDS: Image sensors, Sensors, Target detection, Image transmission, Sensor networks, Optical sensors, Image processing, Image compression, Information visualization, Remote sensing

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The imaging sensors are able to provide intuitive visual information for quick recognition and decision. However, imaging sensors usually generate vast amount of data. Thus, processing of image data collected in the sensor network for the purpose of energy efficient transmission poses a significant technical challenge. In particular, when a cluster of imaging sensors is activated to track certain moving target, multiple sensors may be collecting similar visual information simultaneously. With correlated image data, we need to intelligently reduce the redundancy among the neighboring sensors so as to minimize the energy for transmission, the primary source of sensor energy consumption. We propose in this paper a novel collaborative image transmission scheme for wireless sensor networks. First, we apply a shape matching method to coarsely register images to find out maximal overlap in order to exploiting the spatial correlation between images acquired from neighboring sensors. A transformation is generated according to the matching results. We encode the original image and the difference between the transformed image and reference image. Then, we transmit the coded bit stream together with the transformation parameters. This will significantly reduce the transmission energy comparing with transmitting two individual images independently. To exploiting the temporal correlation among images in the same sensor, we assume that the imaging sensors and the background scenes remain stationary over the data acquisition period. For a given image sequence, we transmit background image only once. A simple background subtraction method is employed to detect targets. Whenever targets are detected, only the regions of target and their spatial locations are transmitted to the monitoring center. At the monitoring center, the whole image can be reconstructed by fusing the background and the target image as well as its spatial location to further reduce energy consumption. Experimental results show that the transmission energy can be greatly reduced.

Proceedings Article | 7 May 2003 Paper

Proxy-based handheld device access to live NASA satellite weather images

Min Wu, Jianfei Cai, Chang Chen

Proceedings Volume 5022, (2003) https://doi.org/10.1117/12.479750

KEYWORDS: Satellite imaging, Satellites, Earth observing sensors, Forward error correction, Meteorological satellites, Global Positioning System, Image compression, Data compression, Image resolution, Image processing

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Proceedings Article | 9 May 2002 Paper

Computer-assisted measurement of cervical length from transvaginal ultrasound images

Min Wu, Robert Fraser, Chang Chen

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467121

KEYWORDS: Ultrasonography, Image segmentation, Cervix, Speckle, Image processing, Tissues, Databases, Image enhancement, Picture Archiving and Communication System, Fetus

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Showing 5 of 6 publications

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