With the rapid development of wireless communication systems, transmission of digital multimedia has become widely spread. This brings with itself the issue of copyright protection for digital work. Digital watermarki...
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ISBN:
(纸本)0819450235
With the rapid development of wireless communication systems, transmission of digital multimedia has become widely spread. This brings with itself the issue of copyright protection for digital work. Digital watermarking is the process of embedding data inside a host image such that it does not degrade the perceptual quality of the image. In recent years, there have been many approaches to introduce different watermarking algorithms for the purposes of copyright protection, broadcast monitoring and covert communication. In this paper, a new transform based watermarking algorithm for digital images is introduced. This method uses the Singular Value Decomposition to obtain the eigenimages of a given image which are known to be the best orthogonal basis that can express that image in a least squares sense. The watermark is embedded by changing the strength of the singular values. The strength of the watermark is determined based on the entropy of the eigenimages to ensure robustness and imperceptibility at the simultaneously. A corresponding watermark detection and extraction algorithm is proposed. The performance of the algorithm under different types of attacks that a digital image can go through during transmission is illustrated through an example.
We utilize speech information to improve the quality of audio-visualcommunications such as video telephony and videoconferencing. We show that the marriage of speech analysis and imageprocessing can solve problems r...
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We utilize speech information to improve the quality of audio-visualcommunications such as video telephony and videoconferencing. We show that the marriage of speech analysis and imageprocessing can solve problems related to lip synchronization. We present a technique called speech-assisted frame-rate conversion, and apply it to coding of talking head video. Demonstration sequences are presented. Extensions and other applications are outlined.
In this paper, we introduce a new algorithm to register images with rotation and image blurring. The characteristic of this approach is that a set of Legendre moment invariants are used to establish the correspondence...
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ISBN:
(纸本)9780819482341
In this paper, we introduce a new algorithm to register images with rotation and image blurring. The characteristic of this approach is that a set of Legendre moment invariants are used to establish the correspondence of corner points between the reference image and the distorted image, after these points are extracted by Harris corner detector.
In infrared (IR) image sequences, non-uniform imaging artifacts can appear due to sensor characteristics and operating temperatures. These non-uniformity artifacts degrade the performance of scene analysis algorithms ...
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ISBN:
(纸本)9781728172064
In infrared (IR) image sequences, non-uniform imaging artifacts can appear due to sensor characteristics and operating temperatures. These non-uniformity artifacts degrade the performance of scene analysis algorithms such as target detection, target recognition, and target tracking as well as human expert visual analysis. In this study, we propose a software based non-uniformity correction (NUC) approach based on optimization of a mutual information (MI) driven cost function. Proposed method, namely information-theoretic NUC (IT-NUC), has two steps. First, shutter is closed for a short period of time and non-uniform pattern is extracted using the acquired image sequence. This first step is done for once and only repeated when camera needs to be calibrated. In the second step, extracted pattern is removed from image sequences that are acquired while shutter is opened. This step is executed in an online manner via an optimization approach. Analysis show that proposed method provides satisfactory NUC capabilities using commodity hardware in real-time.
To replicate human visual perception, we analyze processingimages with optical illusion using edge preserving filters and smoothed local histogram equalization (LHE). images with the optical illusions are good models...
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ISBN:
(纸本)9781538644584
To replicate human visual perception, we analyze processingimages with optical illusion using edge preserving filters and smoothed local histogram equalization (LHE). images with the optical illusions are good models for gradual/rapid changes in contrast and strong edges, which are good cases for assessing the robustness of image filters. Here, we study and analyze the performance of smoothed LHE filters while processing perceptual illusion. Our studies conclude that, smoothed LHEs are useful in retaining actual edge forms in these images as they can operate using large kernel sizes. These large kernel size filters can construct sawtooth like edge and it corresponds to adequately wide halos. We also demonstrate the usefulness of smoothed LHE like tone mapping techniques in preserving naturalness, and we confirmed it by performing subjective visual test.
VSN is different from traditional WSN that collect and transmit images/video instead of scalar data to the sink. images provide richer information than scalar data that enable VSN to be a promising technology on secur...
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ISBN:
(纸本)9781457702518
VSN is different from traditional WSN that collect and transmit images/video instead of scalar data to the sink. images provide richer information than scalar data that enable VSN to be a promising technology on security monitoring and surveillance. image transmission in VSN is expansive due to its large image size and significant energy consumption. One possible way to reduce the image size is to aggregate the received images on the sensor nodes before transmission. By eliminating the redundant image, image aggregation in VSN could transmit the overlapped region of the images only once to reduce the total energy consumption. However, image aggregation requires imageprocessing at the aggregator node that incurs additional node processing energy. In this paper, we study the energy consumption tradeoff between node imageprocessing and image aggregation. We derive the image aggregation energy consumption model that considers the imageprocessing and image transmission. From the simulation results, image aggregation scheme does help lowering the energy consumption. As compared to the non-aggregation scheme, image aggregation scheme consumes only 46% of the energy consumption. In addition, we also find that the threshold for the number of aggregated nodes. Above this threshold, increasing the number aggregated nodes does not help on reducing the energy consumption. This could help determining the number of aggregated nodes under different degree of aggregation to achieve minimum energy consumption.
This paper describes an attempt to correlate lip movement visual information acquired via a camera with speech audio information acquired via a microphone from a human speaker in order to prevent audio created by exte...
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ISBN:
(纸本)9781424411894
This paper describes an attempt to correlate lip movement visual information acquired via a camera with speech audio information acquired via a microphone from a human speaker in order to prevent audio created by external noise from being misrecognized as speech emitted by said speaker. images of the face of a human speaker are acquired via a PC camera and are then separated into images that indicate lip movement and images that do not indicate lip movement. The data of lip movement image signals is saved in shared memory and shared with the speech recognition process. This data is analyzed by the speech activity detection process, which is a pre-processing step of sound recognition. We combined a speech recognition processor and an image recognizer, and the interworking function successfully operated at the rate of 99.3%.
This paper proposes a merge mode decision algorithm while maintaining the accuracy of a diamond search (DS) in motion estimation and compensation. In High Efficiency Video Coding (HEVC), the merge mode is used to redu...
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ISBN:
(纸本)9781479902880
This paper proposes a merge mode decision algorithm while maintaining the accuracy of a diamond search (DS) in motion estimation and compensation. In High Efficiency Video Coding (HEVC), the merge mode is used to reduce the bit rate in order to carry motion information. The rate-distortion (RD) cost of the merge mode is compared with the RD cost of the inter-prediction mode in the course of the motion estimation which can be terminated early when the merge cost is smaller than the estimated cost of the inter-prediction mode. To this end, this paper proposes a fast merge mode prediction algorithm when the DS is used for motion estimation. The main purpose of this work is to estimate the RD cost of the merge mode in advance by utilizing the distortion information of the RD cost of the motion vector prediction (MVP) so as to early terminate the motion search operation. Experimental results show that the proposed fast merge mode estimation achieves a comparable RD performance but reduces the amount of computation by 16.6% on the average when compared to the fast motion estimation with the diamond search implemented in the HM 8.0 reference software.
In this paper, a new technique is developed to enhance the. quality of JPEG compressed images. Based on the principle of learning by examples, the new method constructs the enhancement system adaptively. In order not ...
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ISBN:
(纸本)0819427497
In this paper, a new technique is developed to enhance the. quality of JPEG compressed images. Based on the principle of learning by examples, the new method constructs the enhancement system adaptively. In order not to incur overheads, the processing system is designed io have only 7 parameters which can also be estimated off-line. Extensive simulations have been performed, results show significant improvements of both subjective and objective quality of JPEG compressed images. It is also observed that the new techniques performs competitively to state of the art techniques and is computationally more efficient.
This paper introduces a new compression method for palettized images, which supports progressive refinement of the color information in contrast to the resolution refinement used in standard methods like interlaced GI...
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ISBN:
(纸本)0819437034
This paper introduces a new compression method for palettized images, which supports progressive refinement of the color information in contrast to the resolution refinement used in standard methods like interlaced GIF. Such, fine image details can be recognized after decoding only a small part of the compressed image data. Achieved compression ratios are comparable to those of interlaced GIF or PKG. The method combines color map sorting with bitplane by bitplane prediction and Golomb coding of the pixel held.
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