A novel multilayer decision based iterative filter for removal of salt and pepper noise

Sharma, Nikhil; Sohi, Prateek Jeet Singh; Garg, Bharat; Arya, K. V.

doi:10.1007/s11042-021-10958-1

Cited by 12 publications

(2 citation statements)

References 13 publications

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“…It is worthy to mention that the reduced computation complexity of the proposed algorithms and their small area makes them good candidate to be used as basic units in multi-stages algorithms. Since, most of these algorithms utilizes the median of 3 × 3 window as a pre-processing filtering stage [4] and [24].…”

Section: Simulations and Resultsmentioning

confidence: 99%

Optimized Algorithms and Hardware Implementation of Median Filter for Image Processing

Draz

Elashker

Mahmoud

2023

Circuits Syst Signal Process

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Image processing algorithms are essential for clarifying the image and improving the ability to recognize distinct characteristics of the image. The field of digital image processing is widespread in several research and technology applications. In many of these applications, the existence of impulsive noise in the obtained images is one of the most frequent problems. The median filter is a strong method to remove the impulsive noise; it effectively eliminates salt and pepper noise from the image. The main target of this paper is to investigate efficient median filter units to be connected to a general-purpose processor (GPP) for FPGA-based embedded systems. The paper exposes three novel techniques, two of them specially for median filtering techniques and the third one is used to get the maximum number of any 9 elements array. The proposed algorithms are inspired by the Median Of Median (MOM) algorithm. The first two techniques are tested for filtering $$3 \times 3$$ 3 × 3 image windows and optimized for producing the expected result in high accuracy, short time, and reduced number of comparisons. The last technique is tested for a 9 elements array for extracting the maximum number in same high efficiency manner. Furthermore, the three proposed techniques are implemented leveraging the advantage of the parallel processing and the FPGA flexible resources to satisfy the real-time processing constraints. A comparison between the first two proposed filtering units and their counterparts in the literature is included. The comparison reveals the superiority of the first technique in terms of accuracy with fewer comparators than previously published techniques. Besides, the paper illustrates how the concept beyond the proposed techniques can be used to perform the maximum pooling for convolution neural networks.

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Section: Simulations and Resultsmentioning

confidence: 99%

Optimized Algorithms and Hardware Implementation of Median Filter for Image Processing

Draz

Elashker

Mahmoud

2023

Circuits Syst Signal Process

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“…In the process of collecting images, various image noises may be introduced into the collected images [14].This paper mainly studies salt-and-pepper noise [15]. The existence of noise affects the results of subsequent image stitching, and better visual effects can be obtained only by filtering the noise.…”

Section: Image Preprocessingmentioning

confidence: 99%

Image stitching method based on improved optimal seam

Wang

Liu

et al. 2023

International Conference on Electronic Information Engineering and Computer Science (EIECS 2022)

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In order to improve the running time of image stitching and remove the phenomenon of ghosting, this paper proposes an image stitching method based on the improved optimal seam line.First, the two input images are preprocessed using a median filter algorithm.Next, image registration is performed using the ORB algorithm. Finally, the best seam method based on the Canny operator is used.The experimental results show that when stitching images, whether for large scale or small scale images, the algorithm in this paper has faster running speed and better stitching effect.

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A Tri-valued Trimmed Mean Decision-Based Filter for Removal of Salt-and-Pepper Noise

Sethi

Garg

Yadav

2022

Artificial Intelligence in Data and Big Data Processing

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A novel multilayer decision based iterative filter for removal of salt and pepper noise

Cited by 12 publications

References 13 publications

Optimized Algorithms and Hardware Implementation of Median Filter for Image Processing

Optimized Algorithms and Hardware Implementation of Median Filter for Image Processing

Image stitching method based on improved optimal seam

A Tri-valued Trimmed Mean Decision-Based Filter for Removal of Salt-and-Pepper Noise

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