F: Graphics & Vision (133)
GJCST: F
PSO Based Lossless and Robust Image Watermarking using Integer Wavelet Transform
Published In: GJCST Part: F: Graphics & Vision Volume: 17 Issue: 1 In recent days, the advances in the broadcasting of multimedia contents in digital format motivate to protect this digital multimedia content form illegal use, such as manipulation, duplication and redistribution. However, watermarking algorithms are designed to meet the requirements of different applications, because, various applications have various requirements. This paper intends to...
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Authors R. Surya Prakasa Rao, Dr. P. Rajesh KumarRead Journal Click Here
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Page No. 29 to 39
A Video Stabilization Method Based on Inter-frame Image Matching Score　
Published In: GJCST Part: F: Graphics & Vision Volume: 17 Issue: 1 Video stabilization is an important video enhancement technology which aims at removing annoying shaky motion from videos. In this paper, we propose an robust and efficient video stabilization algorithm based on inter-frame image matching score. Firstly, image matching is performed by a method combining Maximally Stable Extremal Regions (MSERs) detection algorithm and Features from Accel...
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Authors Qinghe Zheng, Mingqiang YangRead Journal Click Here
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Page No. 41 to 46
A Literature Review on Emotion Recognition Using Various Methods
Published In: GJCST Part: F: Graphics & Vision Volume: 17 Issue: 1 Emotion Recognition is an important area of work to improve the interaction between human and machine. Complexity of emotion makes the acquisition task more difficult. Quondam works are proposed to capture emotion through unimodal mechanism such as only facial expressions or only vocal input. More recently, inception to the idea of multimodal emotion recognition has increased the accurac...
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Authors Reeshad Khan, Omar SharifRead Journal Click Here
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Page No. 25 to 27
A Novel Scheme of Fault Detection in Transmission Line using Image Processing
Published In: GJCST Part: F: Graphics & Vision Volume: 17 Issue: 1 This paper approaches a technique that help to find and diagnosing faults in transmission lines using image process technique. Image processing technique is widely used in all area for solving the problems. In this paper, Digital image processing wavelet shrinkage function is use for fault identification and diagnosis. In the other word, take a faulty image from the source like thermo vi...
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Authors Deepak Kumar, Amit Kumar, Abhay Yadav, M. A. AnsariRead Journal Click Here
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Page No. 19 to 24
Texture Image Segmentation using Morphology in Wavelet Transforms
Published In: GJCST Part: F: Graphics & Vision Volume: 17 Issue: 1 One of the essential and crucial steps for image understanding, interpretation, analysis and recognition is the image segmentation. This paper advocates a new segme- ntation scheme using morphology on wavelet decomposed images. The present paper provides a good segmentation on natural images and textures by dividing an image into non overlapping regions, which are homogenous in terms of ...
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Authors V Vijaya KumarRead Journal Click Here
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Page No. 1 to 17
Fast Search Approaches for Fractal Image Coding: Review of Contemporary Literature
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 3 Fractal Image Compression (FIC) as a model was conceptualized in the 1989. In furtherance, there are numerous models that has been developed in the process. Existence of fractals were initially observed and depicted in the Iterated Function System (IFS), and the IFS solutions were used for encoding images. The process of IFS pertaining to any image constitutes much lesser space for recor...
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Authors Srinivasa Rao D, Dr. Subhash Chandra NRead Journal Click Here
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Page No. 37 to 46
An Optimal Factor Analysis Approach to Improve the Wavelet-based Image Resolution Enhancement Techniques
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 3 The existing wavelet-based image resolution enhancement techniques have many assumptions, such as limitation of the way to generate low-resolution images and the selection of wavelet functions, which limits their applications in different fields. This paper initially identifies the factors that effectively affect the performance of these techniques and quantitatively evaluates the impact...
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Authors Wasnaa Witwit , Yitian Zhao , Karl Jenkins, Yifan ZhaoRead Journal Click Here
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Page No. 11 to 20
Image Retrieval based on Macro Regions
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 3 Various image retrieval methods are derived using local features, and among them the local binary pattern (LBP) approach is very famous. The basic disadvantage of these methods is they completely fail in representing features derived from large or macro structures or regions, which are very much essential to represent natural images. To address this multi block LBP are proposed in the li...
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Authors V Vijaya KumarRead Journal Click Here
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Page No. 25 to 36
A Review on Vessel Extraction of Fundus Image to Detect Diabetic Retinopathy
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 3 Ophthalmology is an important term of medical field, which helps to visualize various diseases and treat them accordingly. Fundus images are processed so as to treat diseases like glaucoma, vein occlusions, and diabetic retinopathy (DR), obesity, glaucoma etc. There are types of supervised and unsupervised types of algorithms used so as to segment the Fundus images. There are three types...
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Authors Dr. S.S.Chorage, Sayali.S.KhotRead Journal Click Here
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Page No. 21 to 24
Image Information Retrieval based on Edge Responses, Shape and Texture Features using Datamining Techniques
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 3 The present paper proposes a new technique that extracts significant structural, texture and local edge features from images. The local features are extracted by a steady local edge response that can sustain the presence of noise, illumination changes. The local edge response image is converted in to a ternary pattern image based on a local threshold. The structural features are derived ...
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Authors Talluri. Sunil Kumar, T.V.Rajinikanth, B. Eswara ReddyRead Journal Click Here
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Page No. 1 to 10
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A Methodical Study of Content Based Medical Image Retrieval in Current Days
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 2 Content-based image retrieval (CBIR) is standout amongst the most rich research fields in the area of computer vision & significant advancement has been made throughout the decade. CBIR is an image search methodology that changed the traditional text-based retrieval of images by utilizing various visual features, for example, color, texture, & shape, as criteria of search. In the area of...
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Authors B. Satish, Dr. Supreethi K. PRead Journal Click Here
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Page No. 27 to 45
Non Blind Watermarking Process using RSA Encryption Method
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 2 With the growth of technology and continuous rapid improvement in this field, the digital content took an important role in this current era of time. Online transactions keep growing in many parts of the world. As a result it becomes the prime target for hackers and intruders. Consequently security of data has become a critical issue for experts. In this paper a robust algorithm is propo...
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Authors M.M. Fazle RabbiRead Journal Click Here
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Page No. 9 to 12
Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 2 Gesture recognition is a mathematical analysis of movement of body parts (hand / face) done with the help of computing device. It helps computers to understand human body language and build a more powerful link between humans and machines. Many research works are developed in the field of hand gesture recognition. Each works have achieved different recognition accuracies with different h...
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Authors Santosh Choudhary, Dr. Naveen ChoudharyRead Journal Click Here
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Page No. 1 to 8
Multimodal Biometrics Enhancement Recognition System based on Fusion of Fingerprint and PalmPrint: A Review
Published In: GJCST Part: F: Graphics & Vision Volume: 16 Issue: 2 This article is an overview of a current multimodal biometrics research based on fingerprint and palm-print. It explains the pervious study for each modal separately and its fusion technique with another biometric modal. The basic biometric system consists of four stages: firstly, the sensor which is used for enrolment & recognition the biometrics data. Secondly, the pre-processing stage...
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Authors Mouad .M.H.Ali, A. T. GaikwadRead Journal Click Here
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Page No. 13 to 26