Development of complete image processing system including image filtering, image compression &amp; image security

Shelke, Sandeep K.; Sinha, Sanjeet Kumar; Patel, Govind Singh

doi:10.1016/j.matpr.2021.06.154

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…While, the lossy compression procedure, there is a contrast between the original and reproduced image. But the reconstructed image is sensibly closer to the initial image [1].…”

Section: B Image Compressionmentioning

confidence: 89%

“…This commotion is called salt and pepper noise. As the noisy pixel can either have the most elevated or lowest value on grayscale [1].…”

Section: A Image Filteringmentioning

confidence: 99%

“…Steganography is diverse from cryptography with reality. Cryptography bargains with keeping the message content emitted while steganography bargains with keeping the existence of the message secrete [1].…”

Section: Image Securitymentioning

confidence: 99%

“…This compression module provides improved execution inters of compression proportion and PSNR. In the final stage, image encryption is performed to have a secured image [1]. The drawback does not use different filtering techniques to choose the best results.…”

Section: Image De-noisingmentioning

confidence: 99%

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A Hybrid Filtering Technique of Digital Images in Multimedia Data Warehouses

Othman¹,

Saad²,

Eldin³

2023

IJACSA

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The similarity search approach used for image Data Warehouse (DW) can provide better insights into discovering the most similar images compared to the input query. Due to the later innovation improvement, the mixed media complexity is discernibly expanded and modern inquires about regions are opened depending on comparable mixed media substance recovery. Content-Based Image Retrieval (CBIR) algorithms are utilized for the retrieval of images related to the inquiry image from gigantic databases or DW. The queries that are used for DW are complex, take a lot of time to process and many give less accurate results. For these reasons, this paper needs to have an effective technique to improve the similarity search query process that reflects a more positive result. In this paper, show how to extract features from a set of images (color, shape, and texture features) by using CBIR algorithm with Color Edge Detection (CED) method. Once these features are extracted, the proposed method will minimize the distance between these features vectors and the query image one using a Genetic Algorithm (GA). This paper illustrates the extraction of endless strong and imperative features from the database of the images, therefore, the capacity of these features in storing within the frame of features vectors. Accordingly, an imaginative closeness assessment with a metaheuristic algorithm (Genetic Algorithm (GA) with Simulating Annealing (SA)) has been attained between the query image features and those having a place in the database image. This paper introduces a new algorithm CEDF (Color Edge Detection with Gaussian Blur Filter) that applies the Gaussian Blur Filter after using CED method for feature detection of the image. Experimental results show that CEDF method gives better result than the other already-known methods.

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“…While, the lossy compression procedure, there is a contrast between the original and reproduced image. But the reconstructed image is sensibly closer to the initial image [1].…”

Section: B Image Compressionmentioning

confidence: 89%

“…This commotion is called salt and pepper noise. As the noisy pixel can either have the most elevated or lowest value on grayscale [1].…”

Section: A Image Filteringmentioning

confidence: 99%

Section: Image Securitymentioning

confidence: 99%

Section: Image De-noisingmentioning

confidence: 99%

See 2 more Smart Citations

A Hybrid Filtering Technique of Digital Images in Multimedia Data Warehouses

Othman¹,

Saad²,

Eldin³

2023

IJACSA

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show abstract

“…Their applicability and effectiveness in solving specific monitoring and local decision support tasks are astonishing [ 55 ] compared to conventional methods. Most of these systems rely on simple sensory signal filtering methods [ 10 ], while others use AI-based solutions [ 21 , 56 ], deep learning [ 57 ], and other machine learning methods [ 58 ] to filter noises in the raw data [ 59 ], classifying events [ 60 ], detecting patterns [ 61 ], eliminating cyber threats in communication networks [ 60 , 62 , 63 ], compressing the data [ 64 ], etc.…”

Section: Review Of Recent Advancementsmentioning

confidence: 99%

Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations

Jakovlev

Eglynas

Vozňák

et al. 2022

Sensors

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Due to the mechanical nature of container handling operations, as well as natural factors, container and handling infrastructure suffers various types of damage during use, especially within the tight and enclosed environments of a ship’s hull. In this operational environment, it is critical to detect any sort of physical impacts between the vertical cell guides of the ship’s hull and the container. Currently, an inspection of impacts and evaluation of any consequences is performed manually, via visual inspection processes. This process is time-consuming and relies on the technical expertise of the personnel involved. In this paper, we propose a five-step impact-detection methodology (IDM), intended to detect only the most significant impact events based on acceleration data. We conducted real measurements in a container terminal using a sensory device placed on the spreader of the quay crane. The proposed solution identified an average of 12.8 container impacts with the vertical cell guides during common handling operations. In addition, the results indicate that the presented IDM can be used to recognize repeated impacts in the same space of each bay of the ship, and can be used as a decision support tool for predictive maintenance systems.

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Water photovoltaic plant contaminant identification using visible light images

Zhou

Sun

2022

Sustainable Energy Technologies and Assessments

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Development of complete image processing system including image filtering, image compression & image security

Cited by 5 publications

References 10 publications

A Hybrid Filtering Technique of Digital Images in Multimedia Data Warehouses

A Hybrid Filtering Technique of Digital Images in Multimedia Data Warehouses

Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations

Water photovoltaic plant contaminant identification using visible light images

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