라플라스 피라미드 융합을 이용한 역광영상의 개선 방법
An Enhancement Technique for Backlit Images using Laplace Pyramid Fusion
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
역광 조명에서 촬영된 영상은 한 장면에 지나치게 밝은 부분과 어두운 부분이 혼재되어 있어서 이를 전역적인 처리로 화질을 개 선하는데는 한계가 있댜 본 논문은 역광 촬영된 사진을 각각 어두운 영역과 밝은 영역을 개선하는 두 장의 가상 영상으로 만들어 이를 원본 영상과 함께 라플라시안 피라미드로 융합하여 사진의 품질을 개선히는느 빙언에 대해 소개한댜 제안된 기법은 두 장의 가 상 영상을 만들 때 LUT로 단순화할 수 있는 히스토그램 스트레칭과 감마변환을 활용하여 연산 부담을 저감하였다. 또한 색상 강화 된 영상을 얻기 위해 HSV 좌표계를 사용하여 휘도에 대해서만 명암 변환을 실시하였다. 제안된 기법은 표준 영상 데이터 세트를 사용하여 몇 가지의 NIQA 지표를 산출하여 그 효용성을 보였댜
Abstract
There is a limit to improving the image quality through global processing of images taken under backlighting because too bright and dark parts are mixed in one scene. This paper introduces a method to improve the quality of a photo by making two virtual images that improve the dark and bright areas of a backlit photo, and fusing them with the original image into a Laplacian pyramid. The proposed method reduces the computational burden by using histogram stretching and gamma transformation that can be simplified with LUT when creating the two virtual images. In addition, in order to obtain a color-enhanced image, contrast conversion was performed only on the luminance using the HSV coordinate system. The proposed technique showed its effectiveness by calculating several NIQA indicators using standard image data sets.
참고문헌 (29)
- David C.C Wang, "Digital image enhancement: A survey", Computer Vision, Graphics, and Image Processing, 24(3), pp.363~381 (1983), Elsevier BV[DOI]
- Rafael Gonzalez, "Digital Image Processing" (2002), Addison-Wesley Pub
- Shanto Rahman, "An adaptive gamma correction for image enhancement", EURASIP Journal on Image and Video Processing, 1(35) (2016), Springer Science and Business Media LLC[DOI]
- Manpreet Kaur, "Survey of Contrast Enhancement Techniques based on Histogram Equalization", International Journal of Advanced Computer Science and Applications, 2(7) (2011), The Science and Information Organization[DOI]
- Yeong-Taeg Kim, "Contrast enhancement using brightness preserving bi-histogram equalization", IEEE Transactions on Consumer Electronics, 43(1), pp.18~ (1997), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Bin Liu, "Contrast enhancement using non-overlapped sub-blocks and local histogram projection", IEEE Transactions on Consumer Electronics, 57(2), pp.583~588 (2011), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Zuiderveld K., "Graphics gems IV", pp.474~485 (1994)
- Edwin H. Land, "Lightness and Retinex Theory", Journal of the Optical Society of America, 61(1), pp.111~ (1971), The Optical Society[DOI]
- D.J. Jobson, "Properties and performance of a center", surround retinex, 1997, pp.6(3), 451~462[DOI]
- D. J. Jobson, "A multiscale retinex for bridging the gap between color images and the human observation of scenes", IEEE Trans. Image Processing, 6(7), pp.965~976 (2002)[DOI]
- D. J. Jobson, "Retinex processing for automatic image enhancement", J. Electron. Imag, 13(1), pp.100~110 (2004)[DOI]
- Syed Zaheeruddin, "Image Contrast Enhancement by Homomorphic Filtering based Parametric Fuzzy Transform", International Conference on Recent Trends in Advanced Computing ICRTAC (2019)
- Tingting Sun, "Readability Enhancement of Low Light Videos Based on Discrete Wavelet Transform", 2017 IEEE International Symposium on Multimedia (ISM), pp.342~345 (2017), IEEE
- Bo Xu, "Image Enhancement Algorithm Based on GAN Neural Network", IEEE Access, 10, pp.36766~36777 (2022), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Jinjiang Li, "Low-Light Image Enhancement via Progressive-Recursive Network", IEEE Transactions on Circuits and Systems for Video Technology, 31(11), pp.4227~4240 (2021), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Mertens T, "Exposure fusion", Proceedings of the 15th Pacific conference on computer graphics and applications, pp.382~390 (2007)
- T. Mertens, "Exposure Fusion: A Simple and Practical Alternative to High Dynamic Range Photography", Computer Graphics Forum, 28(1), pp.161~171 (2009), Wiley[DOI]
- P. Burt, "The Laplacian Pyramid as a Compact Image Code", IEEE Transactions on Communications, 31(4), pp.532~540 (1983), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- "High Dynamic Range"[URL]
- Se-Hwan Yun, "Image enhancement using a fusion framework of histogram equalization and laplacian pyramid", IEEE Transactions on Consumer Electronics, 56(4), pp.2763~2771 (2010), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Wencheng Wang, "An Experiment-Based Review of Low-Light Image Enhancement Methods", IEEE Access, 8, pp.87884~87917 (2020), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Thaweesak Trongtirakul, "Single Backlit Image Enhancement", IEEE Access, 8, pp.71940~71950 (2020), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- "Li’s Database"[URL]
- Hasler, D., "Human Vision and Electronic Imaging VIII" (2003)
- Muhammad Ali Qureshi, "Towards the design of a consistent image contrast enhancement evaluation measure", Signal Processing: Image Communication, 58, pp.212~227 (2017), Elsevier BV[DOI]
- Turgay Celik, "Automatic Image Equalization and Contrast Enhancement Using Gaussian Mixture Modeling", IEEE Transactions on Image Processing, 21(1), pp.145~156 (2012), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- A. Mittal, "Making a “Completely Blind” Image Quality Analyzer", IEEE Signal Processing Letters, 20(3), pp.209~212 (2013), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- "NIQE Software"[URL]
- Canlin Li, "A low-light image enhancement method with brightness balance and detail preservation", PLOS ONE, 17(5), pp.e0262478~ (2022), Public Library of Science (PLoS)[DOI]