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An Empirical Analysis of Frequency Domain High Pass Filters on Various Types of Noises

K. Kanagalakshmi, S. Shenbagavadivu


Enhancing the pictorial information for human interpretation is always been a challenging task in digital image processing. Preprocessing is used to remove the unwanted data in digital images. Frequency domain techniques are applied on Fast Fourier transformations of an image. High pass filters are often used to sharpen the digitized image and improve minutiae details. It is frequently applied on the fingerprint images. One of the main objectives of this work is to find the suitable high pass filter for desired noise type. Quality of the images is assessed with image quality metrics like PSNR, MSE and MAE.


Ideal, Butterworth, Gaussian, Filter, High Pass, Noise.

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Makandar, Aziz, and Bhagirathi Halalli. "Image enhancement techniques using highpass and lowpass filters." International Journal of Computer Applications, Volume 109 – No. 14, January 2015.

Shaikh, Md Shahnawaz, Ankita Choudhry, and Rakhi Wadhwani. "Analysis of Digital Image Filters in Frequency Domain." International Journal of Computer Applications, Volume 140 – No.6, April 2016.

Zawaideh, Farah H., Qais M. Yousef, and Firas H. Zawaideh. "Comparison between Butterworth and Gaussian High-pass Filters using an Enhanced Method." international journal of computer science and network security, Vol.No.17, issue. 7 P.No: 113-117, July 2017.

Hwang, Jae Jeong, and Kang Hyeon Rhee. "Gaussian filtering detection based on features of residuals in image forensics." In Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2016 IEEE RIVF International Conference on, pp. 153-157. IEEE, 2016.

Tholeti, Thulasi, Priyanka Ganesh, and Pallavi Ramanujam. "Frequency domain filtering techniques of halftone images." In Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on, pp. 427-430. IEEE, 2015.

Kaur, Jappreet, Manpreet Kaur, Poonamdeep Kaur, and Manpreet Kaur. "Comparative analysis of image denoising techniques." International journal of Emerging Technology and Advanced engineering 2, no. 6 (2012): 296-298.

Dewangan, Swati, and Anup Kumar Sharma. "Image Smoothening and Sharpening using Frequency Domain Filtering Technique.", International Journal of Emerging Technologies in Engineering Research (IJETER) Volume 5, Issue 4, pp:169-174, April (2017).

Umbaugh, S. E. 1998, Computer Vision and Image Processing, Prentice Hall PTR, New Jersey.

Narinder Kaur, Seema Baghla, Sunil Kumar, ”A Review: Image Enhancement and Its Various Techniques”, International Journal of Advances in Science Engineering and Technology, ISSN: 2321-9009 Volume- 3, Issue-3, July-2015.

Hasinoff, Samuel W., Frédo Durand, and William T. Freeman. "Noise-optimal capture for high dynamic range photography." In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp. 553-560. IEEE, 2010.

Chandra, E., and K. Kanagalakshmi. "Frequency Domain Enhancement Filters for Fingerprint Image: A Performance Evaluation." Digital Image Processing 3, no. 16 (2011): 1043-1046.


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