The week's pick
Random Articles
Reseach Article
Performance Comparison of Various Filters for Denoising Foggy Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 99 - Number 10 |
| Year of Publication: 2014 |
| Authors: Shafali Gupta, Lakhwinder Kaur |
10.5120/17412-7996
|
Shafali Gupta, Lakhwinder Kaur . Performance Comparison of Various Filters for Denoising Foggy Images. International Journal of Computer Applications. 99, 10 ( August 2014), 42-51. DOI=10.5120/17412-7996
Abstract
This paper compares the performance of various filters on the images degraded by the fog. Denoising is vital for the image enhancement. It is difficult to remove the noise from the images while preserving the information and the quality of the image. For analysis filters like Median, Alpha Trim, Lee, Wiener, Anisotropic Diffusion and Guided filter are used. Number of performance metrics exists already in the literature to analyze the performance of denoising filters like SNR (Signal Noise Ratio), MSE (Mean Square Error), NAE (Normalized Absolute Error) and SC (Structural Content). The result demonstrates that the results of filters are not satisfactory. So, recently proposed dark channel prior method is studied and implemented. The visual results of the dark channel method are better than the filters.
References
- Wenshui Shen, Xinzhi Zhou, "Algorithm for removing thin cloud from remote sensing digital images based on homomorphic filtering High Power Laser and Particle Beams", 22(1), pp. 45-48,2010.
- Kristofor B. Gibson and Truong Q. Nguyen, "Fast Single Image Fog Removal Using the Adaptive Wiener Filter", IEEE, pp. 714-718, 2013.
- He, K. , et al. ,"Single image haze removal using dark channel prior CVPR", 2009.
- Raghvendra Yadav, Manoj Alwani," Enhancement of fog degraded images on The basis of histogram classification", pp. 549-554
- Govindaraj. V, Sengottaiyan. G," Survey of Image Denoising using Different Filters" International Journal of Science, Engineering and Technology Research, vol. 2, February 2013.
- Akanksha Jain, Prateek Nahar," Performance Comparison of Two Image Denoising Algorithm at Different Noises" International Journal of Emerging Technology and Advanced Engineering,vol. 3, pp. 359-361, December 2013
- Gonzalez, R. C. , Woods, R. E", Digital Image Processing" 2 edn. Prentice Hall, 2002.
- Pooja Kaushik and Yuvraj Sharma "Comparison Of Different Image Enhancement Techniques Based Upon Psnr & Mse "International Journal of Applied Engineering Research. vol. 7, no. 11, 2012.
- C. S. Varnan, A. jagan, Jaspreet, Dr. D. S. rao "Image Quality Assessment Techniques "International Journal of Science & Technology, vol. 2, no. 3, pp. 2108-2113, Sept 2011.
- D. S. Turaga, Y. Chen, and J. Caviedes, "No reference PSNR estimation for compressed pictures," Signal Process. Image Commun, vol. 19, pp. 173-184, 2004.
- Min Goo Choi, Jung Hoon "No Reference Image Quality Assessment Using Blur & Noise" World Academy of Science Engineering & Volume 28No. 12, January 2009.
- Chanchal Srivastava, Saurabh Kumar Mishra, Pallavi Asthana, G. R. Mishra, O. P. Singh "Performance Comparison of Various Filters and Wavelet Transform for Image De-Noising" IOSR Journal of Computer Engineering, vol. 10, Issue 1 pp. 55-63, Apr. 2013.
- Srinivasa G. Narasimhan and Shree K. Nayar "Contrast Restoration of Weather Degraded Images", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, No. 6, June 2003.
- S. G. Narasimhan and S. K. Nayar, "Vision and the Atmosphere,"Int'l J. Computer Vision, vol. 48, no. 3, pp. 233-254, Aug. 2002.
- J. P. Oakley and B. L. Satherley, "Improving Image Quality in Poor Visibility Conditions Using a Physical Model for Degradation,"IEEE Trans. Image Processing, vol. 7, Feb. 1998.
- K. Tan and J. P. Oakley. Physics based approach to color image enhancement in poor visibility conditions. JOSA A, 18(10):2460–2467, October 2001.
- Pawan Patidar, Manoj Gupta, Sumit Srivastava and Ashok Kumar Nagawat," Image De-noising by Various Filters for Different Noise", International Journal of Computer Applications,pp. 45-50, November 2010.
- Kaiming He, Jian Sun, and Xiaoou Tang, "Guided Image Filtering", pp. 1-13.
- Sukhjinder Singh, et. al. "Comparative Study and Implementation of Image Processing Techniques Using MATLAB" International Journal of Advanced Research in Computer Science and Software Engineering, vol. 2, pp. 244-250, March, 2012.
- Kaiming He, Jian Sun, and Xiaoou Tang," Single Image Haze Removal Using Dark Channel Prior" IEEE Transactions On Pattern Analysis And Machine Intelligence, vol. 33, no. 12, December 2011.
- Xia Lan, Liangpei Zhang, Huanfeng Shen, Qiangqiang Yuan4 and Huifang Li," Single image haze removal considering sensor blur and noise ", EURASIP Journal on Advances in Signal Processing, 2013.
Index Terms
Keywords