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1871 articles for “Paper”
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Study and Analysis of Robust DCT-2L-DWT-SVD Domain Based Digital Image Watermarking Techniques with Different Attacks Using MATLAB
Abstract: The proposed paper presents a combined technique of Discrete Cosine Transform (DCT), 2level Discrete Wavelet Transform (2L-DWT) and Singular Value Decomposition (SVD) based Digital Image Watermarking (DIW) with dissimilar attacks. In the initial stage, split the original (cover) image into four sub-bands LL,LH,HL,HH which are named according to the filter (high-pass or low-pass), select LL sub-band which is split in to four sub-bands - LL-LL ,LL-LH ,LL-HL, LL-HH using DWT …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 10–19 Read article
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Communities in Complex Networks: A Review
Abstract: These days we are equipped with various types of networks like social networks, biological networks, technological networks etc. These networks exist almost everywhere. Many scientists and researchers have shown their interest in these complex networks because of their huge range of applications. These complex networks have various types of properties like transitivity, scale free networks, presence of community structure, etc. Community detection is one of the most active fields in …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 35–42 Read article
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Digital Signature Scheme for Image
Abstract: : Image authentication techniques have currently added great consideration due to its importance for a large number of multimedia applications. Digital images are progressively communicated over non-secure channels such as the Internet. Therefore, military, medical and quality control images must be protected against attempts to manipulate them; such manipulations could tamper the decisions based on these images. To protect the authenticity of multimedia images, several approaches have been proposed. These …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 41–48 Read article
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Feature Extraction: Comparing Feature Extractors
Abstract: Machine learning is getting fuzz nowadays a lot. In order to train the computer to recognize the set of images is the key factor. For this neural networks and classifiers are used to do the identification and recognition. Now do the matching feature points or the interest points are required which makes it to our area of research i.e. feature extractors. In our paper we compared various feature extractors Fast, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 12–17 Read article
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Image Denoising by Sigma Estimation based Convolution Neural Network
Abstract: Abstract Image denoising process gains more attention due to its effective denoising performance. This paper proposed the convolution feedforward network with sigma estimation and without sigma estimation to provide the prior information to the CNN and without sigma, it does not come to CNN. The outcomes with CNN and without CNN use image denoising and reduce the MSE and enhance the PSNR. Keywords: Image Denoising, Deep Learning, Convolution Neural Network …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 18–26 Read article
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Review on Medical Image Enhancement Techniques
Abstract: Abstract—Image enhancement is the process of improving visual quality of the image. In this paper, Image Processing Methods were implemented on CTA medical images for better understanding. LPFED with different kernels, GLTLPF, are the major techniques that were used to enhance images. The output results give more insights about the images and enhance the overall scope of finding more perceptions. Keywords: Medical Image, Image Enhancement, Filter, Gray Level, Edge, Computer …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 16–21 Read article
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Video Coding with Packed Stream in Image Processing and Applications
Abstract: Scalable video coding is a technique which allows a compressed video stream to be decoded in several different ways. This ability allows a user to adaptively recover a specific version of a video depending on its own requirements. Video sequences have temporal, spatial and quality scalabilities. In this work we introduce a novel fully scalable video codec. It is based on a motion-compensated temporal filtering (MCTF) of the video sequences …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 36–44 Read article
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Facial Expression Classification using Multi-Scale Histogram of Oriented Gradients
Abstract: An automatic facial expression classification method, based on multiscale Histogram of Oriented Gradients (HOG) features extracted from sub-facial image patches, is proposed in this paper. A number of multiclass Support Vector Machines (SVM) are designed using the multiscale HOG features for classifying six basic facial expressions for frontal face images. The proposed method, with a simple design and few training data, achieves descent classification accuracy at a very low computational …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 5–13 Read article
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A Multi-Terrain Fractal-Based Digital Camouflage Pattern
Abstract: A recent need for modern infantry operations would be the requirement of an effective camouflage pattern for usage in multiple terrains. This is a result of the modern evolution of military combat as its common for military units to be rotated from one location to another (usually with drastically different ecosystems). A good camouflage pattern that has tried to address this issue would be Crye Precision’s MultiCam, however it still …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 30–38 Read article
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Blind Assistance System using Tensorflow
Abstract: Because of item recognition's cozy relationship with video investigation and picture understanding, it has drawn in much exploration consideration lately. Customary item discovery techniques are based on carefully assembled highlights and shallow teachable designs. Their exhibition effectively deteriorates by building complex outfits which join numerous low-level picture highlights with undeniable level setting from object finders and scene classifiers. With the fast improvement in profound learning, all the more amazing assets, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 6–12 Read article
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Investigation and Classification of Cardiac MRI Images using Texture Analysis
Abstract: In order to quantify the myocardial viability after infarction, recent researches have developed new cardiac MRI protocol using particle contrast agents which highlight the different areas after infarction: i.e. the healthy area, the necrosed area and the two ischemic areas. Actually the researches are carried out on rodents micro cardiac MRI for which the obtained images are very noisy and present a very low contrast. In this paper, we analyse …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 37–41 Read article
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Foreign Material Detection for Scallion Processing Industry Using HSV Color Space
Abstract: In this paper, an optical foreign substance detection system is designed to address the problem of foreign substances mixed in food. The five color spaces of RGB, HSV, YCrCb, CIELab, and CIELuv are compared by using scallion images and non-scallion images to seek the color space that is the most suitable for the scallion processing. The designed image algorithms are given to filter out food raw materials and background images. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 33–50 Read article
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Research Methodology for the Development of Software Tool to Improve the Quality of Software Product using Fuzzy Quality Function Deployment
Abstract: The correct way towards the success of the development of software tool is to follow the acceptable methodology. The software developed according to the correct methodology will never tend to be failed. An elegant research methodology can help in achieving the desired goals related to the development of software in a most efficient way. It acts as a nerve centre between the researcher and its research work. To develop the …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 9–13 Read article
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Research Methodology for the Development of Data Mining Driven Forecasting Software Tool for Quality Function Deployment
Abstract: A well-thought and analysed research methodology is the prerequisite for the development of any flourishing software tool. It acts as centre of operations because entire research process is surrounded by it and keeps the researcher on right track. Selection of right methodology is crucial task, as research must process at right point of time and advance in right direction only. Quality Function Deployment and Data mining are itself very vast …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 1–8 Read article
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Edge Detection of Images: An Analysis Using B-S-P Technique
Abstract: Abstract Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Sobel-Prewitt edge …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 21–26 Read article
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An Empirical Evaluation of a New Comparison Sort Algorithm
Abstract: Most of the present day applications are database oriented like telephone directory, list of students, list of employees in an organization, and hospital databases etc. The users of these applications would like the data in some specified order (ascending or descending) that may be arithmetical or lexicographical. The sorting algorithms sort the data stored in database on its primary key or any other key value. This paper presents a new …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 1–7 Read article
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A Study and Analysis Among Dijkstra’s Algorithm, Bellman–Ford Algorithm and Floyd’s Algorithm on Run-Time Basis Using Source Code
Abstract: Numerous applications like communication network and transportation use shortest path algorithm to notice the shortest path between two nodes. In the Single source shortest path algorithm, a shortest path is calculating from one node to another node. In the present paper, I have compared the results of the shortest path algorithms (Dijkstra, Bellman–Ford) on the basis of running time. I am using C# programming language to compare the algorithms. I …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 60–70 Read article
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Edge Detection of Image: A Programmatic Combination of M-B-P Operators
Abstract: Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Morphological-Bergholm-Prewitt (M-B-P) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range of …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 13–20 Read article
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D-Crush: A stronger approach towards web security
Abstract: In today’s cyber era the term cybercrime is spreading like fire in the forest because we are becoming much more dependent on the cyberspace. The dependency ranges from the birth date of an individual to all the financial details of any organization. Because of this dependency, the cyber space is much more prone to attacks for the various reasons like financial gains, competition, committing crimes etc. It is evident that …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 6–12 Read article
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New Approach For Efficient Fuel Filling In Vehicles Using IOT
Abstract: Checking Systems are basic to track and comprehend the developments that happen in conditions. Remote viewing and information gathering structures are noteworthy and viable instruments to collect data from fuel aggregating tanks. The fuel association structure is Shows how the improvement is being mauled in the fuel stations. In fact the fuel stations are deluding open by blame looking at check for the fuel with the progression. This meander will …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 1, 2018 · pp. 30–38 Read article