IET Image Process.最新文献_第7页

Computation of Zernike moments in improved polar configuration 改进极位的Zernike矩计算

IET Image Process. Pub Date : 2009-08-01 DOI: 10.1049/IET-IPR.2008.0142

C. Singh, Ekta Walia

引用次数: 23

Robust and transparent watermarking scheme for colour images 鲁棒和透明的彩色图像水印方案

IET Image Process. Pub Date : 2009-08-01 DOI: 10.1049/IET-IPR.2008.0068

K. Liu, Chun-Hsien Chou

{"title":"Robust and transparent watermarking scheme for colour images","authors":"K. Liu, Chun-Hsien Chou","doi":"10.1049/IET-IPR.2008.0068","DOIUrl":"https://doi.org/10.1049/IET-IPR.2008.0068","url":null,"abstract":"In this study, a robust and transparent watermarking scheme for colour images is proposed. The colour features for the human visual system are utilised to design the colour watermarking scheme. Through the exploitation of the perceptual redundancy of colour images, the proposed watermarking scheme is perceptually tuned to embed and detect the watermark in the perceptually significant sub-bands of luminance and chrominance components of colour images in the wavelet domain. The employment of the uniformity in the uniform colour space and the masking effect mainly due to local variations in luminance magnitude leads to that the perceptual redundancy of colour images can be measured. By using the estimated perceptual redundancy in the form of error visibility thresholds of wavelet coefficients of the colour image, high strength watermarks are invisibly embedded into coefficients of the host colour image for resisting compression and malicious attacks. Simulation results show that the estimation of perceptual redundancy is helpful to the design of the watermarking scheme for colour images. The performance in terms of robustness and transparency of the proposed watermarking scheme is superior to that of the existing scheme.","PeriodicalId":13486,"journal":{"name":"IET Image Process.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85489154","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: 18

Fast video shot boundary detection framework employing pre-processing techniques 采用预处理技术的快速视频镜头边界检测框架

IET Image Process. Pub Date : 2009-06-10 DOI: 10.1049/IET-IPR.2007.0193

Yuenan Li, Zhang Lu, X.-M. Niu

{"title":"Fast video shot boundary detection framework employing pre-processing techniques","authors":"Yuenan Li, Zhang Lu, X.-M. Niu","doi":"10.1049/IET-IPR.2007.0193","DOIUrl":"https://doi.org/10.1049/IET-IPR.2007.0193","url":null,"abstract":"Video shot boundary detection is the initial and fundamental step towards video indexing, browsing and retrieval. Great efforts have been paid on developing accurate shot boundary detection algorithms. However, the high computational cost in shot detection becomes a bottleneck for real-time applications. The problem of making a balance between detection accuracy and speed is addressed in this paper, and a novel fast detection framework is presented. The general framework that employs pre-processing techniques can improve both detection speed and precision. In the pre-processing stage, adaptive local thresholding is adopted to classify non-boundary segments and candidate segments that may contain shot boundaries. The candidate segments are refined using bisection-based comparisons to eliminate non-boundary frames. Only refined candidate segments are preserved for further detections; hence, the speed of shot detection is improved by reducing detection scope. Moreover, prior knowledge about each possible shot boundary such as its type and duration can be obtained in the pre-processing stage, which can accelerate the consequent hard cut and gradual transition detections. Experimental results indicate that the proposed framework is effective in accelerating the shot detection process, and it can also achieve excellent detection accuracies.","PeriodicalId":13486,"journal":{"name":"IET Image Process.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76378142","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: 69

Spectral sensitivity design for maximum colour separation in artificial colour systems 在人工色彩系统中最大分色的光谱灵敏度设计

IET Image Process. Pub Date : 2009-06-10 DOI: 10.1049/IET-IPR.2009.0023

K. Heidary, H. Caulfield

{"title":"Spectral sensitivity design for maximum colour separation in artificial colour systems","authors":"K. Heidary, H. Caulfield","doi":"10.1049/IET-IPR.2009.0023","DOIUrl":"https://doi.org/10.1049/IET-IPR.2009.0023","url":null,"abstract":"Engineers have utilised spectral information and have steadily improved its applications in imaging systems for more than a century. The course of technological developments in colour imaging has been dictated by system improvements measured by their efficacy for direct human consumption. It seems reasonable to us to try to emulate nature and boost capabilities of machine vision systems by optimising the way in which they exploit spectral information. This is a two-step process: first step involves using a few spectrally broad detectors to compress the information content of the scene and the second step constructs spectral discriminants for image segmentation based on a small number of spectrally generated features assigned to each pixel. In animals the discriminant value is attributed to the object as what is called colour. Previous papers have concentrated on the final segmentation step. Here we show a straightforward way to design application-specific spectral sensitivity functions to improve image segmentation. The resulting functions can be used for reliable recognition of objects in a hyperspectral image in real time. These functions can also be used to design task-specific specialised cameras that can outperform current hyperspectral systems in terms of sensitivity, size, power consumption, robustness, price and complexity.","PeriodicalId":13486,"journal":{"name":"IET Image Process.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76918540","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: 1

Comments on 'new family of lapped biorthogonal transform via lifting steps' 关于“提升阶叠双正交变换新族”的评析

IET Image Process. Pub Date : 2009-06-10 DOI: 10.1049/IET-IPR.2008.0173

W. Li, X. Wu

引用次数: 0

Image denoising using 2-D separable oversampled DFT modulated filter banks 二维可分离过采样DFT调制滤波器组图像去噪

IET Image Process. Pub Date : 2009-06-10 DOI: 10.1049/IET-IPR.2007.0218

P. Shui

引用次数: 22

Spatially adaptive thresholding in wavelet domain for despeckling of ultrasound images 超声图像去斑的小波域空间自适应阈值分割

IET Image Process. Pub Date : 2009-06-10 DOI: 10.1049/IET-IPR.2007.0096

M. Bhuiyan, M. Swamy, M. Ahmad

{"title":"Spatially adaptive thresholding in wavelet domain for despeckling of ultrasound images","authors":"M. Bhuiyan, M. Swamy, M. Ahmad","doi":"10.1049/IET-IPR.2007.0096","DOIUrl":"https://doi.org/10.1049/IET-IPR.2007.0096","url":null,"abstract":"Ultrasound imaging is widely used for diagnostic purposes among the clinicians. A major problem concerning the ultrasound images is their inherent corruption by the multiplicative speckle noise that hampers the quality of the diagnosis, and reduces the efficiency of the algorithms for automatic image processing. In this paper, we propose a new spatially adaptive wavelet-based method in order to reduce the speckle noise from ultrasound images. A spatially adaptive threshold is introduced for denoising the coefficients of log-transformed ultrasound images. The threshold is obtained from a Bayesian maximum a posteriori estimator that is developed using a symmetric normal inverse Gaussian probability density function (PDF) as a prior for modelling the coefficients of the log-transformed reflectivity. A simple and fast method is provided to estimate the parameters of the prior PDF from the neighbouring coefficients. Extensive simulations are carried out using synthetically speckled and ultrasound images. It is shown that the proposed method outperforms several existing techniques in terms of the signal-to-noise ratio, edge preservation index and structural similarity index and visual quality, and in addition, is able to maintain the diagnostically significant details of ultrasound images.","PeriodicalId":13486,"journal":{"name":"IET Image Process.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80110250","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: 80

Image colourisation using graph-based semi-supervised learning 使用基于图的半监督学习的图像着色

IET Image Process. Pub Date : 2009-06-01 DOI: 10.1049/IET-IPR.2008.0112

Beibei Liu, Z.-M. Lu

引用次数: 20

Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means 基于混合动态遗传算法和模糊c均值的多分量图像分割

IET Image Process. Pub Date : 2009-03-21 DOI: 10.1049/IET-IPR.2007.0213

M. Awad, K. Chehdi, A. Nasri

{"title":"Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means","authors":"M. Awad, K. Chehdi, A. Nasri","doi":"10.1049/IET-IPR.2007.0213","DOIUrl":"https://doi.org/10.1049/IET-IPR.2007.0213","url":null,"abstract":"Image segmentation is an important task in image analysis and processing. Many of the existing methods for segmenting a multi-component image (satellite or aerial) are very slow and require a priori knowledge of the image that could be difficult to obtain. Furthermore, the success of each of these methods depends on several factors, such as the characteristics of the acquired image, resolution limitations, intensity in-homogeneities and the percentage of imperfections induced by the process of image acquisition. Recently, fuzzy C-means (FCM) and Genetic Algorithms were separately used in segmenting multi-component images but neither of them had successfully addressed the above concerns. GA was enhanced using Hill-climbing, randomising, and modified mutation operators, leading to what is called hybrid dynamic genetic algorithm (HDGA). Coupling HDGA and FCM creates an unsupervised segmentation method which could successfully segment two types of multi-component images (Landsat ETM+, and IKONOS II). Comparison with the four different methods FCM, hybrid genetic algorithm (HGA), self-organizing-maps (SOM), and the combination of SOM and HGA (SOM-HGA) reveals that FCM-HDGA segmentation method gives robust and reliable results, and is more time efficient.","PeriodicalId":13486,"journal":{"name":"IET Image Process.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84832644","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: 51

An effective calibration procedure for correction of parallax unmatched image pairs 一个有效的校正程序的视差不匹配的图像对

IET Image Process. Pub Date : 2009-03-21 DOI: 10.1049/IET-IPR.2008.0046

H.-M. Wang, C.-W. Chang, J.-F. Yang

引用次数: 13