A Real-Time Video Denoising Implementation on FPGA Using Contourlet Transform

被引：0

作者：

Truong Quang Vinh ^{[1
]}

Le Quoc Bao Tri ^{[1
]}

Nguyen Ngoc Tai ^{[1
]}

机构：

[1] Ho Chi Minh City Univ Technol HCMUT, Vietnam Natl Univ Ho Chi Minh City VNU HCM, Fac Elect & Elect Engn, Ho Chi Minh City, Vietnam

来源：

2013 INTERNATIONAL CONFERENCE ON COMPUTING, MANAGEMENT AND TELECOMMUNICATIONS (COMMANTEL) | 2013年

关键词：

video denoising; contourlet; pipeline architecture; FPGA; real-time video processing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a design and implementation of a real-time video denoising on FPGA. The video noise is decomposed into directional subbands by using contourlet transform. Thus, Gaussian noise in video frames can be removed significantly by an adaptive thresholding technique. Besides, to process video in real-time, a hardware design of proposed video denoising is implemented on FPGA. In order to achieve highest throughput, we design full pipeline architecture for hardware design. Experimental results show that our design can process with throughput of up to 150 Megapixels per second, which is totally suitable for high definition (HD) video processing.

引用

页码：203 / 207

页数：5

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