Dr. Susanto Rahardja Profile

Dr. Susanto Rahardja

at Institute for Infocomm Research

SPIE Involvement:

Author

Proceedings Article | 8 February 2010 Paper

Edge-detected detail enhancement through synthesis of multi-light images

Jinghong Zheng, Zhengguo Li, Susanto Rahardja, Susu Yao

Proceedings Volume 7532, 753206 (2010) https://doi.org/10.1117/12.840184

KEYWORDS: Image filtering, Image enhancement, Image processing, Light sources and illumination, Edge detection, Filtering (signal processing), Image resolution, Raster graphics, Control systems, Image quality

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Proceedings Article | 15 September 2008 Paper

Ordinal-based method for robust image/video signature generation

Daniel Chongli Chen, Lekha Chaisorn, Susanto Rahardja

Proceedings Volume 7073, 70732I (2008) https://doi.org/10.1117/12.802714

KEYWORDS: Video, Distance measurement, Databases, Image segmentation, Spatial resolution, Binary data, Image processing algorithms and systems, Multimedia, Internet, Video processing

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Proceedings Article | 10 September 2007 Paper

Hypothetical reference decoder for H.264 over channel with jitter

Zhengguo Li, Susanto Rahardja, Shoulie Xie, Wei Yao

Proceedings Volume 6777, 67770I (2007) https://doi.org/10.1117/12.742012

KEYWORDS: Computer programming, Video, Iterative methods, Image processing, Visualization, Video coding, Lithium, Video compression, Multimedia, Clocks

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Proceedings Article | 10 September 2007 Paper

Error concealment using weighted sum of macroblocks

Ee Sin Ng, Jo Yew Tham, Susanto Rahardja

Proceedings Volume 6777, 67770L (2007) https://doi.org/10.1117/12.740075

KEYWORDS: Bismuth, Error analysis, Video, Algorithm development, Visualization, Switching, Edge detection, Quantization, Information fusion, Switches

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Proceedings Article | 10 September 2007 Paper

A design of real time image capturing and processing system using Texas Instrument's processor

Toon-Joo Wee, Lekha Chaisorn, Susanto Rahardja, Woon-Seng Gan

Proceedings Volume 6777, 67770N (2007) https://doi.org/10.1117/12.740117

KEYWORDS: Image processing, Video, Digital signal processing, RGB color model, Video surveillance, Video processing, Signal processing, LCDs, Digital image processing, Raster graphics

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In this work, we developed and implemented an image capturing and processing system that equipped with capability of capturing images from an input video in real time. The input video can be a video from a PC, video camcorder or DVD player. We developed two modes of operation in the system. In the first mode, an input image from the PC is processed on the processing board (development platform with a digital signal processor) and is displayed on the PC. In the second mode, current captured image from the video camcorder (or from DVD player) is processed on the board but is displayed on the LCD monitor. The major difference between our system and other existing conventional systems is that image-processing functions are performed on the board instead of the PC (so that the functions can be used for further developments on the board). The user can control the operations of the board through the Graphic User Interface (GUI) provided on the PC. In order to have a smooth image data transfer between the PC and the board, we employed Real Time Data Transfer (RTDX^TM) technology to create a link between them. For image processing functions, we developed three main groups of function: (1) Point Processing; (2) Filtering and; (3) 'Others'. Point Processing includes rotation, negation and mirroring. Filter category provides median, adaptive, smooth and sharpen filtering in the time domain. In 'Others' category, auto-contrast adjustment, edge detection, segmentation and sepia color are provided, these functions either add effect on the image or enhance the image. We have developed and implemented our system using C/C# programming language on TMS320DM642 (or DM642) board from Texas Instruments (TI). The system was showcased in College of Engineering (CoE) exhibition 2006 at Nanyang Technological University (NTU) and have more than 40 users tried our system. It is demonstrated that our system is adequate for real time image capturing. Our system can be used or applied for applications such as medical imaging, video surveillance, etc.

Proceedings Article | 10 September 2007 Paper

Fast mode decision in fine granularity scalability motion refinement

Y. Tan, Z. Li, S. Rahardja

Proceedings Volume 6777, 67770K (2007) https://doi.org/10.1117/12.733515

KEYWORDS: Computer programming, Video coding, Video, Scalable video coding, Motion estimation, Distortion, Signal to noise ratio, Quantization, Video processing, Spatial resolution

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Proceedings Article | 29 January 2007 Paper

A more aggressive prefetching scheme for streaming media delivery over the Internet

Junli Yuan, Qibin Sun, Susanto Rahardja

Proceedings Volume 6508, 650818 (2007) https://doi.org/10.1117/12.704804

KEYWORDS: Internet, Local area networks, Multimedia, Sun, Visual communications, Image processing, Electronic imaging, Nanoimprint lithography

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Proceedings Article | 29 January 2007 Paper

Motion refined medium granular scalability

Zhengguo Li, Wei Yao, Susanto Rahardja

Proceedings Volume 6508, 650820 (2007) https://doi.org/10.1117/12.703399

KEYWORDS: Magnesium, Signal to noise ratio, Video, Scalable video coding, Lithium, Motion estimation, Visual communications, Image processing, Electronic imaging, Video coding

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Proceedings Article | 2 October 2006 Paper

Server-assisted prefetching for internet streaming media delivery

Junli Yuan, Qibin Sun, Susanto Rahardja

Proceedings Volume 6391, 63910E (2006) https://doi.org/10.1117/12.689236

KEYWORDS: Internet, Video, Multimedia, Local area networks, Systems modeling, Sun, Nanoimprint lithography, Computer simulations

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Proceedings Article | 24 June 2005 Paper

Customer oriented SNR scalability scheme for scalable video coding

Z. Li, S. Rahardja

Proceedings Volume 5960, 596014 (2005) https://doi.org/10.1117/12.631436

KEYWORDS: Signal to noise ratio, Scalable video coding, Video, Video surveillance, Lithium, Video coding, Local area networks, Internet technology, Internet, Surveillance systems

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Proceedings Article | 23 June 2003 Paper

Post-processing for JPEG 2000 image coding using recursive line filtering based on a fuzzy control model

Susu Yao, Susanto Rahardja, Xiao Lin, Keng Pang Lim, Zhongkang Lu

Proceedings Volume 5150, (2003) https://doi.org/10.1117/12.503098

KEYWORDS: Image compression, Image quality, Fuzzy logic, Image restoration, Digital filtering, Visualization, Image filtering, Nonlinear filtering, Cameras, Image processing

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Showing 5 of 11 publications

SPIE Conference Volume | 9 September 2007

Multimedia Systems and Applications X

SPIE Conference Volume | 1 October 2006

Multimedia Systems and Applications IX

Conference Committee Involvement (2)

Multimedia Systems and Applications X

10 September 2007 | Boston, MA, United States

Multimedia Systems and Applications IX

2 October 2006 | Boston, Massachusetts, United States

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