Laplacian-Based Frequency Domain Filter for the Restoration of Digital Images Corrupted by Periodic Noise

Currently, digital images in the format Full HD (1920 * 1080 pixels) and 4K (4096 * 3072) are widespread. This article will consider the option of processing a similar image in the frequency domain. As an example, take a snapshot of the earth's surface. The discrete Fourier transform will be computed using a two-dimensional analogue of the Cooley-Tukey algorithm and in a standard way by rows and columns. Let us compare the required number of operations and the results of a numerical experiment. Consider the examples of image filtering.

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Copyright protection of digital images by means of frequency domain watermarking

10.1117/12.330369 ◽

1998 ◽

Cited By ~ 11

Author(s):

Alessandro Piva ◽

Mauro Barni ◽

Franco Bartolini

Keyword(s):

Frequency Domain ◽

Digital Images

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Gabor-based spectral domain automated notch-reject filter for quasi-periodic noise reduction from digital images

Multimedia Tools and Applications ◽

10.1007/s11042-018-6194-z ◽

2018 ◽

Vol 78 (2) ◽

pp. 1757-1783 ◽

Cited By ~ 4

Author(s):

D. Chakraborty ◽

M. K. Tarafder ◽

A. Banerjee ◽

S. R. Bhadra Chaudhuri

Keyword(s):

Noise Reduction ◽

Digital Images ◽

Spectral Domain ◽

Periodic Noise

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An Extensive Review on Image Segmentation Techniques

Indian Journal of Image Processing and Recognition - regular ◽

10.35940/ijipr.b1002.061221 ◽

2021 ◽

Vol 1 (2) ◽

pp. 1-5

Author(s):

Kamlesh Sharma ◽

Nidhi Garg

Keyword(s):

Image Processing ◽

Image Segmentation ◽

Edge Detection ◽

Frequency Domain ◽

Image Enhancement ◽

Digital Images ◽

Extensive Review ◽

Current Image ◽

Segmentation Image

Image processing is the use of algorithms to perform various operations on digital images. The techniques that are explained further are image segmentation and image enhancement. Image Segmentation is a method to partition an image into multiple segments, to change the presentation of an image into something more meaningful and easier to analyze. The current image segmentation techniques include region-based segmentation and edge detection segmentation. Image Enhancement is the process of improving the quality of image. Under this section there are two broad divisions- Spatial Domain Technique and Frequency Domain Technique.

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Periodic Noise Removal in Strain and Natural Images Using 2-D Fast Fourier Transform

International Journal of Computer and Communication Technology ◽

10.47893/ijcct.2013.1174 ◽

2013 ◽

pp. 90-94

Author(s):

Mandeep Kaur ◽

Dinesh Kumar ◽

Ekta Walia ◽

Manjit Sandhu

Keyword(s):

Fourier Transform ◽

Fast Fourier Transform ◽

Frequency Domain ◽

Noise Removal ◽

Natural Images ◽

Periodic Pattern ◽

Periodic Noise ◽

Mean Filter ◽

The Mean

This paper presents a 2-D FFT removal algorithm for reducing the periodic noise in natural and strain images. For the periodic pattern of the artifacts, we apply the 2-D FFT on the strain and natural images to extract and remove the peaks which are corresponding to periodic noise in the frequency domain. Further the mean filter applied to get more effective results. The performance of the proposed method is tested on both natural and strain images. The results of proposed method is compared with the mean filter based periodic noise removal and found that the proposed method significantly improved for the noise removal.

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