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커브렛 변환 기반의 영상 향상 방법

Image Enhancement Method using Canny Algorithm based on Curvelet Transform

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참고문헌

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초록

This paper proposes the efficient preprocessing method based on curvelet transform for edge enhancement in image. The propose method is generated the edge map by using the Canny algorithm to wavelet transform, which is the sub-step of the curvelet transform. In order to improve the part of edge feature, the selective sharpening according to the generate edge map is applied. In experimental result, the propose method achieves that the enhancement of edge feature is better than conventional methods. This leads that peak to signal noise ratio, edge intensity are improvement on average about 1.92, 1.12dB respectively.

Abstract

This paper proposes the efficient preprocessing method based on curvelet transform for edge enhancement in image. The propose method is generated the edge map by using the Canny algorithm to wavelet transform, which is the sub-step of the curvelet transform. In order to improve the part of edge feature, the selective sharpening according to the generate edge map is applied. In experimental result, the propose method achieves that the enhancement of edge feature is better than conventional methods. This leads that peak to signal noise ratio, edge intensity are improvement on average about 1.92, 1.12dB respectively.

참고문헌 (18)

  1. M. Deepa, "Wavelet and Curvelet based Thresholding Techniques for Image Denoising", International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE), 1(10) (2012)
  2. M. Shukla., "A Comparative Study of Wavelet and Curvelet Transform for Image Denoising", IOSR Journal of Electronics and Communication Engineering(IOSR-JECE), 7(4), pp.63~68 (2013)
  3. Y. Shen, "Wavelet-Based Total Variation and Nonlocal Similarity Model for Image Denoising", IEEE Signal Processing Letters, 24(6) (2017)
  4. Jing-He Li, "Wavelet-Based Higher Order Correlative Stacking for Seismic Data Denoising in the Curvelet Domain", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(8), pp.3810~3820 (2017), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  5. V. Vijay Kumar Raju, "Denoising of MRI and X-Ray images using Dual Tree Complex Wavelet and Curve let Transforms", IEEE International Conference on Communication and Signal Processing (2014)
  6. R.A. Ansari, "NOISE FILTERING OF REMOTELY SENSED IMAGES USING HYBRID WAVELET AND CURVELET TRANSFORM APPROACH", Geoscience and Remote Sensing Symposium(IGARSS), 2015 IEEE International (2015)
  7. "Curvelets"[URL]
  8. Jean-Luc Starck, "The curvelet transform for image denoising", IEEE Transactions on Image Processing, 11(6), pp.670~684 (2002), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  9. M. Kalyan, "Discrete Curvelet and Morphological Based Adaptive Satellite Image Enhancement", Global Journal of Advanced Engineering Technologies, 3(3) (2014)
  10. K. Jemseera, "Satellite Image Fusion Based on Improved Fast Discrete Curvelet Transforms", Advances in Computing and Communications(ICACC), 2015 Fifth International Conference on (2015)
  11. Anil A. Patil, "Image denoising using curvelet transform: an approach for edge preservation", CSIR, JSIR, 69(01) (2010)
  12. T. Qiao, "Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis", IEEE Transactions on Geoscience and Remote Sensing, 55(1), pp.119~133 (2016)
  13. Mahdad Esmaeili, "Speckle Noise Reduction in Optical Coherence Tomography Using Twodimensional Curvelet-based Dictionary Learning", Journal of Medical Signals & Sensors, 7(2) (2017)
  14. Kaizhi Wu, "Curvelet based nonlocal means algorithm for image denoising", AEU - International Journal of Electronics and Communications, 68(1), pp.37~43 (2014), Elsevier BV[DOI]
  15. P. Bao, "Canny edge detection enhancement by scale multiplication", IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(9), pp.1485~1490 (2005), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  16. Rong, Weibin, "An improved CANNY edge detection algorithm", Mechatronics and Automation (ICMA), 2014 IEEE International Conference on (2014), IEEE
  17. A. Ein-shoka, "Enhancement of IR Images using Homomorphic Filtering in Fast Discrete Curvelet Transform (FDCT)", International Journal of Computer Applications, 96(8) (2014)
  18. Anilet Bala, "Image Denoising Method Using curvelet Transform and Wiener Filter", International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(1) (2014)

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