Journal of Information Hiding and Multimedia Signal Processing最新文献_第9页

Computed Tomography Image Enhancement Using Cuckoo Search: A Log Transform Based Approach 利用杜鹃搜索增强计算机断层图像:一种基于对数变换的方法

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-07-15 DOI: 10.4236/JSIP.2015.63023

A. Ashour, Sourav Samanta, N. Dey, N. Kausar, Wahiba Ben Abdessalemkaraa, A. Hassanien

{"title":"Computed Tomography Image Enhancement Using Cuckoo Search: A Log Transform Based Approach","authors":"A. Ashour, Sourav Samanta, N. Dey, N. Kausar, Wahiba Ben Abdessalemkaraa, A. Hassanien","doi":"10.4236/JSIP.2015.63023","DOIUrl":"https://doi.org/10.4236/JSIP.2015.63023","url":null,"abstract":"Medical image enhancement is an essential process for superior disease diagnosis as well as for detection of pathological lesion accurately. Computed Tomography (CT) is considered a vital medical imaging modality to evaluate numerous diseases such as tumors and vascular lesions. However, speckle noise corrupts the CT images and makes the clinical data analysis ambiguous. Therefore, for accurate diagnosis, medical image enhancement is a must for noise removal and sharp/clear images. In this work, a medical image enhancement algorithm has been proposed using log transform in an optimization framework. In order to achieve optimization, a well-known meta-heuristic algorithm, namely: Cuckoo search (CS) algorithm is used to determine the optimal parameter settings for log transform. The performance of the proposed technique is studied on a low contrast CT image dataset. Besides this, the results clearly show that the CS based approach has superior convergence and fitness values compared to PSO as the CS converge faster that proves the efficacy of the CS based technique. Finally, Image Quality Analysis (IQA) justifies the robustness of the proposed enhancement technique.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"404 1","pages":"244-257"},"PeriodicalIF":0.0,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79749408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 83

Census and Segmentation-Based Disparity Estimation Algorithm Using Region Merging 基于人口普查和分割的区域合并视差估计算法

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-07-15 DOI: 10.4236/JSIP.2015.63018

Viral H. Borisagar, M. Zaveri

{"title":"Census and Segmentation-Based Disparity Estimation Algorithm Using Region Merging","authors":"Viral H. Borisagar, M. Zaveri","doi":"10.4236/JSIP.2015.63018","DOIUrl":"https://doi.org/10.4236/JSIP.2015.63018","url":null,"abstract":"Disparity estimation is an ill-posed problem in computer vision. It is explored comprehensively due to its usefulness in many areas like 3D scene reconstruction, robot navigation, parts inspection, virtual reality and image-based rendering. In this paper, we propose a hybrid disparity generation algorithm which uses census based and segmentation based approaches. Census transform does not give good results in textureless areas, but is suitable for highly textured regions. While segment based stereo matching techniques gives good result in textureless regions. Coarse disparities obtained from census transform are combined with the region information extracted by mean shift segmentation method, so that a region matching can be applied by using affine transformation. Affine transformation is used to remove noise from each segment. Mean shift segmentation technique creates more than one segment of same object resulting into non-smoothness disparity. Region merging is applied to obtain refined smooth disparity map. Finally, multilateral filtering is applied on the disparity map estimated to preserve the information and to smooth the disparity map. The proposed algorithm generates good results compared to the classic census transform. Our proposed algorithm solves standard problems like occlusions, repetitive patterns, textureless regions, perspective distortion, specular reflection and noise. Experiments are performed on middlebury stereo test bed and the results demonstrate that the proposed algorithm achieves high accuracy, efficiency and robustness.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"60 1 1","pages":"191-202"},"PeriodicalIF":0.0,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85050313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Comparison of Integer Cosine and Tchebichef Transforms for Image Compression Using Variable Quantization 整数余弦变换与切比切夫变换在可变量化图像压缩中的比较

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-07-15 DOI: 10.4236/JSIP.2015.63019

Soni Prattipati, M. Swamy, P. Meher

{"title":"A Comparison of Integer Cosine and Tchebichef Transforms for Image Compression Using Variable Quantization","authors":"Soni Prattipati, M. Swamy, P. Meher","doi":"10.4236/JSIP.2015.63019","DOIUrl":"https://doi.org/10.4236/JSIP.2015.63019","url":null,"abstract":"In the field of image and data compression, there are always new approaches being tried and tested to improve the quality of the reconstructed image and to reduce the computational complexity of the algorithm employed. However, there is no one perfect technique that can offer both maximum compression possible and best reconstruction quality, for any type of image. Depending on the level of compression desired and characteristics of the input image, a suitable choice must be made from the options available. For example in the field of video compression, the integer adaptation of discrete cosine transform (DCT) with fixed quantization is widely used in view of its ease of computation and adequate performance. There exist transforms like, discrete Tchebichef transform (DTT), which are suitable too, but are potentially unexploited. This work aims to bridge this gap and examine cases where DTT could be an alternative compression transform to DCT based on various image quality parameters. A multiplier-free fast implementation of integer DTT (ITT) of size 8 × 8 is also studied, for its low computational complexity. Due to the uneven spread of data across images, some areas might have intricate detail, whereas others might be rather plain. This prompts the use of a compression method that can be adapted according to the amount of detail. So, instead of fixed quantization this paper employs quantization that varies depending on the characteristics of the image block. This implementation is free from additional computational or transmission overhead. The image compression performance of ITT and ICT, using both variable and fixed quantization, is compared with a variety of images and the cases suitable for ITT-based image compression employing variable quantization are identified.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"39 1","pages":"203-216"},"PeriodicalIF":0.0,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84536354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Implementation of High Performance Electronic Circuits for Zero Suppression and Encoding of Digital Signals 用于数字信号零抑制和编码的高性能电路的实现

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-07-15 DOI: 10.4236/JSIP.2015.63022

A. Yahia, A. Radi, Salwa M. Youssef

引用次数: 0

P-Wave Detection Combining Entropic Criterion and Wavelet Transform 结合熵准则和小波变换的纵波检测

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-07-15 DOI: 10.4236/JSIP.2015.63020

S. Rekik, N. Ellouze

引用次数: 4

Effect of Diversity and Filtering on the Performance of Wavelet Packets Base Multicarrier Multicode CDMA System 分集滤波对基于小波包的多载波多码CDMA系统性能的影响

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-03-27 DOI: 10.4236/JSIP.2015.62016

M. Akho-Zahieh, Nasser Abdellatif

引用次数: 2

Discrete Inequalities on LCT LCT上的离散不等式

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-03-27 DOI: 10.4236/JSIP.2015.62014

Guanlei Xu, Xiaotong Wang, Xiaogang Xu

引用次数: 2

Comparative Study and Analysis of Performances among RNS, DBNS, TBNS and MNS for DSP Applications DSP应用中RNS、DBNS、TBNS和MNS性能的比较研究与分析

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-03-27 DOI: 10.4236/JSIP.2015.62005

Rakhi Roy, D. Datta, S. Bhagat, S. Saha, A. Sinha

引用次数: 1

A Robust Template Matching Algorithm Based on Reducing Dimensions 基于降维的鲁棒模板匹配算法

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-03-27 DOI: 10.4236/JSIP.2015.62011

Y. Fouda

{"title":"A Robust Template Matching Algorithm Based on Reducing Dimensions","authors":"Y. Fouda","doi":"10.4236/JSIP.2015.62011","DOIUrl":"https://doi.org/10.4236/JSIP.2015.62011","url":null,"abstract":"Template matching is a fundamental problem \u0000in pattern recognition, which has wide applications, especially in industrial \u0000inspection. In this paper, we propose a 1-D template matching algorithm which \u0000is an alternative for 2-D full search block matching algorithms. Our approach \u0000consists of three steps. In the first step the images are converted from 2-D \u0000into 1-D by summing up the intensity values of the image in two directions \u0000horizontal and vertical. In the second step, the template matching is performed \u0000among 1-D vectors using the similarity function sum of square difference. \u0000Finally, the decision will be taken based on the value of similarity function. \u0000Transformation template image and sub-images in the source image from 2-D grey \u0000level information into 1-D information vector reduce the dimensionality of the \u0000data and accelerate the computations. Experimental results show that the \u0000computational time of the proposed approach is faster and performance is better \u0000than three basic template matching methods. Moreover, our approach is robust to \u0000detect the target object with changes of illumination in the template also when \u0000the Gaussian noise added to the source image.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"8 1","pages":"109-122"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85205826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Toolkits for Real Time Digital Audio Signal Processing Teaching Laboratory 实时数字音频信号处理教学实验室工具包

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-03-27 DOI: 10.4236/JSIP.2015.62009

Kizito Nkurikiyeyezu, Faustin Ahishakiye, C. Nsengimana, E. Ntagwirumugara

{"title":"Toolkits for Real Time Digital Audio Signal Processing Teaching Laboratory","authors":"Kizito Nkurikiyeyezu, Faustin Ahishakiye, C. Nsengimana, E. Ntagwirumugara","doi":"10.4236/JSIP.2015.62009","DOIUrl":"https://doi.org/10.4236/JSIP.2015.62009","url":null,"abstract":"This paper describes an audio digital \u0000signal-processing toolkit that the authors develop to supplement a lecture \u0000course on digital signal processing (DSP) taught at the department of \u0000Electrical and Electronics Engineering at the University of Rwanda. In \u0000engineering education, laboratory work is a very important component for a \u0000holistic learning experience. However, even though today there is an increasing \u0000availability of programmable DSP hardware that students can largely benefit \u0000from, many poorly endowed universities cannot afford a costly full-fledged DSP \u0000laboratory. To help remedy this problem, the authors have developed C#.NET \u0000toolkits, which can be used for real-time digital audio signal processing \u0000laboratory. These toolkits can be used with any managed languages, like Visual \u0000Basic, C#, F# and managed C++. They provide frequently used modules for digital \u0000audio processing such as filtering, equalization, spectrum analysis, audio \u0000playback, and sound effects. It is anticipated that by creating a flexible and \u0000reusable components, students will not only learn fundamentals of DSP but also \u0000get an insight into the practicability of what they have learned in the \u0000classroom.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"12 1","pages":"92-98"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86233254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2