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You searched for +publisher:"Drexel University" +contributor:("College of Engineering"). One record found.

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Drexel University

1. Yeoh, Chan. Low-Latency Image Fusion Implementation using FPGA.

Degree: 2018, Drexel University

Image fusion is useful for obtaining multiple input from the camera and may enhance details of a given scene. For example, a regular RGB combined with heat vision may allow a visual example of the scene's heat, or widen the the view, i.e., the panorama view or similar to that of a human's visual field. In current applications, image fusion is not done in real time. Users would have to wait for a period of time before the images are combined together. This project uses a FPGA (Field Programmable Gate Array) to present image fusion with low latency of about 17 ms, which is not noticeable by the human eye.The paper also presents novel approaches to minimizing hardware usage and effectively uses Vivado's architecture to communicate with the processor to fuse two 1080p videos. The result of the program produces a ghosting effect on the output result because of the lack of homography transformation and noise coming from the webcam frame-to-frame.

M.S., Computer Engineering  – Drexel University, 2018

Advisors/Committee Members: Nagvajara, Prawat, 1958-, College of Engineering.

Subjects/Keywords: Computer engineering; Image processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yeoh, C. (2018). Low-Latency Image Fusion Implementation using FPGA. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7856

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yeoh, Chan. “Low-Latency Image Fusion Implementation using FPGA.” 2018. Thesis, Drexel University. Accessed March 21, 2019. http://hdl.handle.net/1860/idea:7856.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yeoh, Chan. “Low-Latency Image Fusion Implementation using FPGA.” 2018. Web. 21 Mar 2019.

Vancouver:

Yeoh C. Low-Latency Image Fusion Implementation using FPGA. [Internet] [Thesis]. Drexel University; 2018. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/1860/idea:7856.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yeoh C. Low-Latency Image Fusion Implementation using FPGA. [Thesis]. Drexel University; 2018. Available from: http://hdl.handle.net/1860/idea:7856

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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