실시간 처리를 위한 열상장비용 CLAHE 명암대비 향상기법의 FPGA 구현
FPGA implementation using a CLAHE contrast enhancement technique in the termal equipment for real time processing
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In this paper, we propose an approach for real time computation of rayleigh CLAHE using a FPGA. The contrast enhancement technique should be applied in thermal equipment having a low contrast image. And thermal equipment must be processed in real time. The CLAHE is an improved algorithm based Histogram Equalization, but the HW design is complex. A value greater than a given threshold in CLAHE should be equally distributed on the other histogram bin, this process requires iterations for the distribution. But implementation of this processing in the FPGA is constrained, so this section was implemented on the assumption of the histogram distribution or modified the operation process or implemented separately in the CPU. In this paper, we designed a distinct redistribution operation in two stages. So FPGA was designed for easy, this was designed to be distributed evenly without the assumptions and constraints. In addition, we have designed a CLAHE with the rayleigh distribution to the FPGA. The simulation shows that the proposed method provides a better image quality in the thermal image.
Abstract
In this paper, we propose an approach for real time computation of rayleigh CLAHE using a FPGA. The contrast enhancement technique should be applied in thermal equipment having a low contrast image. And thermal equipment must be processed in real time. The CLAHE is an improved algorithm based Histogram Equalization, but the HW design is complex. A value greater than a given threshold in CLAHE should be equally distributed on the other histogram bin, this process requires iterations for the distribution. But implementation of this processing in the FPGA is constrained, so this section was implemented on the assumption of the histogram distribution or modified the operation process or implemented separately in the CPU. In this paper, we designed a distinct redistribution operation in two stages. So FPGA was designed for easy, this was designed to be distributed evenly without the assumptions and constraints. In addition, we have designed a CLAHE with the rayleigh distribution to the FPGA. The simulation shows that the proposed method provides a better image quality in the thermal image.
참고문헌 (12)
- 이명윤, "명암의 밀도에 따른 가변 스트레칭을 이용한 영상대비 개선방법", 한국컴퓨터정보학회논문지, 15(12), pp.37~45 (2010), 한국컴퓨터정보학회
- 정수목, "인접 픽셀 값 정보를 이용하는 효율적인 확대 영상의 화질 개선 기법", 한국컴퓨터정보학회논문지, 18(2), pp.49~57 (2013), 한국컴퓨터정보학회
- R. Choudhary, "Survey on Image Contrast Enhancement Techniques", International Journal of Innovative Studies in Sciences and Engineering Technology, 2(3), pp.21~25 (2016)
- S. V. Aher, "A Review : Histogram Equalization Algorithms for Image Enhancement using FPGA", International Journal of Advanced Research in Computer and Communication Engineering, 5(4), pp.711~714 (2016)
- S. M. Pizer, "Adaptive Histogram Equalization and Its Variations", Computer vision, graphics, and image processing, 39(3), pp.355~368 (1987)
- D. P. Sharma, "Intensity Transformation using Contrast Limited Adaptive Histogram Equalization", International Journal of Engineering Research, 2(4), pp.282~285 (2013)
- P. D. Ferguson, "Evaluation Of Contrast Limited Adaptive Histogram Equalization(CLAHE)Enhancement on FPGA", SoCC, pp.119~122 (2008)
- 조현지, "퍼지를 이용한 X-ray 영상의 대비제한 적응히스토그램 평활화 한계점 결정", 멀티미디어학회논문지, 18(7), pp.806~817 (2015), 한국멀티미디어학회[DOI]
- A. M. Reza, "Realization of the Contrast Limited Adaptive Histogram Equalization(CLAHE)for Real-Time Image Enhancement", Journal of VLSI signal processing systems for signal, image and video technology, 38(1), pp.35~44 (2004)
- V. Schatz, "Low-latency histogram equalization for infrared image sequences : a hardware implementation", Journal of real-time image processing, 8(2), pp.193~206 (2013)
- K. Kokufuta, "Real-time processing of contrast limited adaptive histogram equalization on FPGA", 2010 International Conference on Field Programmable Logic and Applications. IEEE, pp.155~158 (2010)
- R. C. Gonzalez, "Digital Image Processing", pp.150~160 (2002), Prentice-Hall