With the ease of distribution of digital images, there is a growing concern for copyright control and authentication. While there are many existing watermarking and data hiding methods for natural images, almost none ...
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ISBN:
(纸本)0819437034
With the ease of distribution of digital images, there is a growing concern for copyright control and authentication. While there are many existing watermarking and data hiding methods for natural images, almost none can be applied to halftone images. In this paper, we proposed a novel data hiding method, Modified Data Hiding Ordered Dithering (MDHED) for halftone images. MDHED is an effective method to hide a relative amount of data while yielding halftone images with good visual quality Besides, the amount of hidden data is easy to control and the security depends on the key not the system itself.
This paper presents an unsupervised segmentation method applicable to both gray-level and multispectral images. For the gray-level image, the segmentation is achieved by a multithresholding on a histogram derived from...
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ISBN:
(纸本)0819437034
This paper presents an unsupervised segmentation method applicable to both gray-level and multispectral images. For the gray-level image, the segmentation is achieved by a multithresholding on a histogram derived from gray-level co-occurrence of the image. The threshold selection is performed by using Otsu algorithm on such a histogram. This method is also extended to the case of multispectral images by converting the image into a monochrome version using Karhunen-Loeve transform. The result tested on a synthetic image is illustrated by comparison with the direct application of Otsu algorithm. This method was applied on many real images, and the results are also given.
To consider the quality of service for stereoscopic image through the network, it: is necessary to develop a quality evaluation model for coded stereoscopic image. We propose a quality evaluation model of the coded st...
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ISBN:
(纸本)0819437034
To consider the quality of service for stereoscopic image through the network, it: is necessary to develop a quality evaluation model for coded stereoscopic image. We propose a quality evaluation model of the coded stereoscopic color image. This evaluation model considers not only the distortions of the edge region and smooth region but also the texture features of the left image. In addition, this model also takes into account the disparity information between the left and right images. Instead of the disparity compensated coded image, we employ the JPEG coded image for the subjective assessment test. As the results, the evaluation model is useful for coded stereoscopic image.
This paper describes a novel filtering method to reconstruct an arbitrarily focused image from two differently focused images. Based on the assumption that image scene has two layers - foreground and background -, the...
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ISBN:
(纸本)0819437034
This paper describes a novel filtering method to reconstruct an arbitrarily focused image from two differently focused images. Based on the assumption that image scene has two layers - foreground and background -, the method uses the linear imaging model of the acquired two differently focused images and the desired image with arbitrary blurring;effect manipulated independently in each Ia;ver. The linear equation that holds between these images, which is derived fi om the imaging model, can be formulated as image restoration problem. This paper shows the solution of this problem, completely exists as an inverse filter, and the desired image can be reconstructed only by the linear filtering. As a result, reconstruction with high accuracy and fast processing call be achieved. Experiments using real images are shown.
Block Truncation Coding is one of the oldest known forms of image compression algorithms, its main attraction being its simple underlying concepts and ease of implementation. In this paper we present a new Predictive ...
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ISBN:
(纸本)0819437034
Block Truncation Coding is one of the oldest known forms of image compression algorithms, its main attraction being its simple underlying concepts and ease of implementation. In this paper we present a new Predictive Absolute Moment Block Truncation Coding scheme which improves the performance of the existing Block Truncation Coding schemes. The proposed scheme is based on selectively predicting the reconstruct-ion values of a block based on the corresponding values in the neighbouring blocks, as well as predicting the bitplane from the bitplanes of the corresponding blocks in other colour components.
This paper describes an approach to image segmentation that is based on an integrate-and-fire operation. An analog cell is described that will fire current pulses when the input light intensity to the cell exceeds a g...
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ISBN:
(纸本)0819437034
This paper describes an approach to image segmentation that is based on an integrate-and-fire operation. An analog cell is described that will fire current pulses when the input light intensity to the cell exceeds a given threshold. The firing of one cell can induce the firing of neighbouring cells, so contiguous object regions are formed using both individual and neighbourhood information. The proposed cell is relatively simple in structure and is capable of incorporating a range of advanced autonomous functions by adapting threshold levels to various local and global conditions.
Wavelet-compressed images suffer from coding artifacts, such as ringing and blurring, resulted from the quantization of transform coefficients. In this paper we propose a new algorithm that reduces such coding artifac...
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ISBN:
(纸本)0819437034
Wavelet-compressed images suffer from coding artifacts, such as ringing and blurring, resulted from the quantization of transform coefficients. In this paper we propose a new algorithm that reduces such coding artifacts in wavelet-compressed images by using regularized iterative image restoration. We, first, propose an appropriate model for the image degradation system which represents the wavelet-based image compression system. Then the model is used to formulate the regularized iterative restoration algorithm. The proposed algorithm adopts a couple of constraints, and adaptivity is imposed to the general regularization process on both spatial and frequency domain. Experimental results show that the solution of the proposed iteration converges to the image in which both ringing and blurring are significantly reduced.
A distributed multimedia computing system consists of sources, processing units and presentation devices in which each component operates autonomously (see Figure 1). This independency can be exploited for optimizatio...
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ISBN:
(纸本)0819437034
A distributed multimedia computing system consists of sources, processing units and presentation devices in which each component operates autonomously (see Figure 1). This independency can be exploited for optimization of individual component performance. Flexibility in performance improvement is enhanced by using independent clock domains. This paper presents a Video I/O model for such a multimedia system. This model provides an asynchronous communication interface for independent clock domains with the ability to synchronize a video display to one of the video sources. The communication interface has been used for the design of I/O modules in a multimedia system, which are briefly outlined.
In this paper a new algorithm for joint detection and segmentation of human faces in color images sequences is presented. A skin probability image is generated using a model for skin color. Instead of a binary segment...
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ISBN:
(纸本)0819437034
In this paper a new algorithm for joint detection and segmentation of human faces in color images sequences is presented. A skin probability image is generated using a model for skin color. Instead of a binary segmentation to detect skin regions, connected operators are used to analyze the skin probability image at different threshold levels. A hierarchical scheme of operators using shape and texture simplifies the skin probability image. For the remaining connected components, the likelihood of being a face is estimated using principal components analysis. To track a detected face region through the sequence, the connected component that represent the face in the previous frame is projected into the current frame. Using the projected segment as a marker, connected operators extract the actual face region from the skin probability image.
Human vision involves higher-level knowledge and top-bottom processes for resolving ambiguity and uncertainty in the real images. Even very advanced low-level imageprocessing can not give any advantages without a hig...
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ISBN:
(纸本)0819437034
Human vision involves higher-level knowledge and top-bottom processes for resolving ambiguity and uncertainty in the real images. Even very advanced low-level imageprocessing can not give any advantages without a highly effective knowledge-representation and reasoning system that is the solution of image understanding problem. Methods of image analysis and coding are directly based on the methods of knowledge representation and processing. Article suggests such models and mechanisms in form of Spatial Turing Machine that in place of symbols and tapes works with hierarchical networks represented dually as discrete and continuous structures, Such networks are able to perform both graph and diagrammatic operations being the basis of intelligence. Computational intelligence methods provide transformation of continuous image information into the discrete structures, making it available for analysis. Article shows that symbols naturally emerge in such networks, giving opportunity to use symbolic operations. Such framework naturally combines methods of machine learning, classification and analogy with induction, deduction and other methods of higher level reasoning. Based on these principles image understanding system provides more flexible ways of handling with ambiguity and uncertainty in the real images and does not require supercomputers. That opens way to new technologies in the computer vision and image databases.
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