FPGA Implementation of Programmable Digital FIR/IIR Filter
- Alternative Title
- 프로그램가능한 디지털 FIR/IIR 필터의 FPGA 구현
- Abstract
- Recent years, computer vision and image processing applications acquired more attention than ever before. Edge detection is a preprocessing level application which can be further used for object detection and tracking applications. However, these high-volume applications require a lot of hardware resources and computation time. In this research, we proposed an area-efficient and a high-speed system-on-chip (SoC) system to perform the image filtering application. We proposed a combination algorithm of median and Sobel filter to filter out the noise present in digital images and find out the edges. The design uses multiplier-less architecture which results in an area-efficient system. To implement edge detection of a noisy RGB color image, the HiTechLogic’s AFPE-003 SoC platform is used. The proposed algorithm is successfully implemented and the resultant Sobel edge detected image is displayed on the liquid crystal display (LCD) display. The system achieved a run time of 0.16s and utilized 16% of logic elements.
- Author(s)
- CHANDRASEKAR PUSHPALATHA
- Issued Date
- 2017
- Awarded Date
- 2017. 8
- Type
- Dissertation
- Keyword
- Programmable digital FIR/IIR filter
- Publisher
- 부경대학교
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/14310
http://pknu.dcollection.net/common/orgView/000002379143
- Affiliation
- 부경대학교 대학원
- Department
- 대학원 정보통신공학과
- Advisor
- Prof. Jee-Youl Ryu
- Table Of Contents
- 1 Introduction 1
2 Principles and Fundamentals of Digital Filter 3
2.1 Digital Filter 3
2.1.1 FIR Filter 3
2.1.2 IIR Filter 7
2.2 Image Edge Detection 10
3 Implementation Methodology 17
3.1 Kaiser Window Design for FIR Filter 18
3.2 Butterworth Design for IIR Filter 19
3.3 Digital Filter Architecture 20
3.4 Sobel Edge Detection Algorithm 21
3.4.1 Color Space Conversion 29
3.4.2 FPGA Hardware Platform 30
4 Results and Discussions 32
4.1 Simulation Results of FIR Filter 32
4.2 Simulation Results of IIR Filter 35
4.3 Sobel Edge Detection Results 39
5 Conclusions 48
References 49
- Degree
- Master
-
Appears in Collections:
- 산업대학원 > 전자정보통신공학과
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