F: Graphics & Vision (133)
GJCST: F
Impulse Noise Removal from Digital Images- A Computational Hybrid Approach
Published In: GJCST Part: F: Graphics & Vision Volume: 13 Issue: 1 In digital Image Processing, removal of noise is a highly demanded area of research. Impulsive noise is common in images which arise at the time of image acquisition and or transmission of images. In this paper, a new hybrid filtering algorithm is presented for the removal of impulse noise from digital images. Here, we replace the impulse noise corrupted pixel by the median of the pixel ...
Paper Information
Authors Dr. Prof M.Jayamanmadharao, M S Ramanaidu, Dr. KVVS ReddyRead Journal Click Here
Read Paper Click Here
Page No. 1 to 7
Comparitive Study on Face Recognition Using HGPP, PCA, LDA, ICA and SVM
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 15 We are comparing the performance of five algorithms of the face recognition i.e. HGPP, PCA, LDA, ICA and SVM. The basis of the comparison is the rate of accuracy of face recognition. These algorithms are employed on the ATT database and IFD database. We find that HGPP has the highest rate of accuracy of recognition when it is applied on the ATT database whereas LDA outperforms the all ot...
Paper Information
Authors Dr. Hardik KadiyaRead Journal Click Here
Read Paper Click Here
Page No. 55 to 58
A New Texture Based Segmentation Method to Extract Object from Background
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 15 Extraction of object regions from complex background is a hard task and it is an essential part of image segmentation and recognition. Image segmentation denotes a process of dividing an image into different regions. Several segmentation approaches for images have been developed. Image segmentation plays a vital role in image analysis. According to several authors, segmentation terminate...
Paper Information
Authors M.Joseph Prakash, Dr.V.VijayakumarRead Journal Click Here
Read Paper Click Here
Page No. 47 to 53
Analysis on Images & Image Processing
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 15 This paper deals with the analysis on images and image processing. It explains the types of images, operations performed on it, types of image formats and image processing principles, techniques, algorithms, compression methods and examples. ...
Paper Information
Authors Dr. B.Priyanka, D.Pramodh KrishnaRead Journal Click Here
Read Paper Click Here
Page No. 43 to 46
A New Method for Gray Level Image Thresholding Using Spatial Correlation Features and Ultrafuzzy Measure
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 15 One of the most recent techniques employed to estimate an optimal threshold of a gray level image for segmentation is ultrafuzzy measures. In this paper, we introduce relative fuzzy membership degree (RFMD) taking spatial correlation among the pixels in the image into account. We also propose a novel thresholding technique by combining two-dimensional histogram, which was determined by u...
Paper Information
Authors Dr. CH.V.Narayana, E. Sreenivasa Reddy, M. Seetharama PrasadRead Journal Click Here
Read Paper Click Here
Page No. 33 to 42
Fuzzy Based Texton Binary Shape Matrix (FTBSM) for Texture Classification
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 15 Texton is a extensively applied approach for texture analysis. This technique shows a strong dependence on certain number of parameters. Unfortunately, each variation of values of any parameter may affect the texture characterization performance. Moreover, micro structure texton is unable to extract texture features which also have a negative effect on the classification task. This paper...
Paper Information
Authors Dr. P.Chandra Sekhar Reddy, B.Eswara ReddyRead Journal Click Here
Read Paper Click Here
Page No. 25 to 32
Texture Analysis and Classification Based on Fuzzy Triangular Greylevel Pattern and Run-Length Features
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 15 Your Texture analysis is one of the most important techniques used in the analysis and interpretation of images, consisting of repetition or quasi repetition of some fundamental image elements. The present paper derived Fuzzy Triangular Greylevel Pattern (FTGP) to overcome the disadvantages of LBP and other local approaches. The FTGP is a 2 x 2 matrix that is derived from a 3 x 3 neighbo...
Paper Information
Authors U Ravi Babu, Dr. V Vijaya Kumar, J Sasi KiranRead Journal Click Here
Read Paper Click Here
Page No. 17 to 23
A Lossy Colour Image Compression Using Integer Wavelet Transforms and Binary Plane Transform
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 15 In the recent period, image data compression is the major component of communication and storage systems where the uncompressed images requires considerable compression technique, which should be capable to reduce the crippling disadvantages of data transmission and image storage. In the research paper, the novel image compression technique is proposed which is based on the spatial domai...
Paper Information
Authors Dr. P. Ashok Babu, Dr. K.V.S.V.R.PrasadRead Journal Click Here
Read Paper Click Here
Page No. 9 to 15
A Spatial Domain Image Steganography Technique Based on Plane Bit Substitution Method
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 15 Steganography is the art and science of hiding information by embedding data into cover media. In this paper we propose a new method of information hiding in digital image in spatial domain. In this method we use Plane Bit Substitution Method (PBSM) technique in which message bits are embedded into the pixel value(s) of an image. We first, proposed a Steganography transformation machine ...
Paper Information
Authors Dr. G.S.Sravanthi, Mrs.B.Sunitha Devi, S.M.Riyazoddin, M.Janga ReddyRead Journal Click Here
Read Paper Click Here
Page No. 1 to 8
An Improved Adaptive Filtering Technique to Remove High Density Salt-and-Pepper Noise using Multiple Last Processed Pixels
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 14 This paper presents an efficient algorithm which can remove high density salt-and-pepper noise from corrupted digital image. This technique differentiates between corrupted and uncorrupted pixels and performs the filtering process only on the corrupted ones. The proposed algorithm calculates median only among the noise-free neighborhoods in the processing window and replaces the centre c...
Paper Information
Authors Mohammad Imrul Jubair, Imtiaz Masud Ziko, Syed Ashfaqueuddin, Md. Helal UddinRead Journal Click Here
Read Paper Click Here
Page No. 21 to 26
More...
Improving Embedded Image Coding Using Zero Block - Quad Tree
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 14 The traditional multi-bitstream approach to the heterogeneity issue is very constrained and inefficient under multi bit rate applications. The multi bitstream coding techniques allow partial decoding at a various resolution and quality levels. Several scalable coding algorithms have been proposed in the international standards over the past decade, but these former methods can only accom...
Paper Information
Authors Dr. S.China Venkateswarlu. Ms. Daggumati Rajani, V.SridharRead Journal Click Here
Read Paper Click Here
Page No. 15 to 20
Implementation of Embedding and Extracting Watermarking
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 14 In this paper, we used an image with a gray scale (256 bits) and bmp type. An image can be converted into binary file by using one of filters (Sober, Prewitt, and Robert) to find edges of the original image. Then we input the watermark to prove the authentic and password that used as a key for ciphering the information. This information will embed by using the Vigenere system that will s...
Paper Information
Authors Dr. Kareem Mohammed JuborRead Journal Click Here
Read Paper Click Here
Page No. 11 to 14
Image Outlier filtering (IOF) : A Machine learning based DWT optimization Approach
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 14 In this paper an image outlier technique, which is a hybrid model called SVM regression based DWT optimization have been introduced. Outlier filtering of RGB image is using the DWT model such as Optimal-HAAR wavelet changeover (OHC), which optimized by the Least Square Support Vector Machine (LS-SVM) . The LS-SVM regression predicts hyper coefficients obtained by using QPSO model. The ma...
Paper Information
Authors Dr. R.Sunitha, Yugandhar DasariRead Journal Click Here
Read Paper Click Here
Page No. 1 to 9
A Robust Online Method for Face Recognition under Illumination Invariant Conditions
Published In: GJCST Part: F: Graphics & Vision Volume: 12 Issue: 13 In case of incremental inputs to an online face recognition with illumination invariant face samples which maximize the class-separation criterion but also incorporates the asymmetrical property of training data distributions. In this paper we alleviate this problem with an incremental learning algorithm to effectively adjust a boosted strong classifier with domain-partitioning weak hypo...
Paper Information
Authors Dr. S.M. Riyazoddin, M. Janga ReddyRead Journal Click Here
Read Paper Click Here
Page No. 49 to 54