For the digital transmission of TV the video-signal will be highly compressed with the MPEG-2 source coding algorithm. The MPEG-2 source coded stream is very sensitive to channel disturbances due to variable length co...
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For the digital transmission of TV the video-signal will be highly compressed with the MPEG-2 source coding algorithm. The MPEG-2 source coded stream is very sensitive to channel disturbances due to variable length coding. A single bit error may result in error propagation, therefore, it will cause a high degradation of picture quality. Hence, error concealment techniques or iterative decoding techniques might be required at the receiver. The aim of this article is to study different techniques for handling channel errors at the receiver side. The first way is to apply error concealment techniques after source decoding. For P- and B-pictures, the inherent motion vectors can be used for temporal error concealment (TEC) which yields very good results. However, in I-pictures no motion vectors exist for TEC. Furthermore, the spatial error concealment (SEC) techniques suffer from the non existence of neighbored macroblocks (MBs) because of the re-synchronization at the slice level. Therefore, another technique, which is called early re-synchronization, in combination with an enhanced error detection technique is investigated in this article. With this technique most of the correct received data can be exploited for error concealment and the quality of service mainly in I-pictures will be improved. A second way for handling channel errors is to apply iterative channel decoding. With this, the error correction capability of the channel decoding part can be improved and less residual errors will occur in the bitstream.
Our proposed Level Adaptive Overdrive Technology, that has improved gray-level response of LCDs, has been reviewed. We also introduced a recently developed advanced level-adaptive overdrive (ALAO) method applicable to...
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ISBN:
(纸本)9781509065530
Our proposed Level Adaptive Overdrive Technology, that has improved gray-level response of LCDs, has been reviewed. We also introduced a recently developed advanced level-adaptive overdrive (ALAO) method applicable to full-digital HD-LCTVs, which not only reduced the gray level response time to less than one fourth, but also improved S/N for still pictures by 10 dB and reduced the circuit cost for LAO method to almost half that of a conventional LAO circuit. We applied the ALAO method to a full-HDLC projector with 1.84 M pixels and obtained high full-HD motion picture qualities. In addition, we introduced the most recently developed software-processed level-adaptive overdrive (SLAO) method without any additional hardware and cost-up.
Proposes a novel approach to segmentation using a combination of Hebbian learning and competitive learning in a self-organizing manner. The network is modular, with each module corresponding to a different class of th...
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Proposes a novel approach to segmentation using a combination of Hebbian learning and competitive learning in a self-organizing manner. The network is modular, with each module corresponding to a different class of the input data. A module consists of a weight vector that is calculated during an initial training period. The appropriate class for a given input vector is determined by a maximum entropy classifier. The resulting network consistently extracts perceptually relevant features from image data. As well, the class representations are analogous to the arrangement of directionally sensitive columns in the visual cortex.< >
This paper proposes a chaos-based encryption method that allows conditional access to privacy-sensitive regions in Joint Photographic Experts Group (JPEG) images. Our goal is to encipher the confidential content in a ...
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ISBN:
(数字)9798350349399
ISBN:
(纸本)9798350349405
This paper proposes a chaos-based encryption method that allows conditional access to privacy-sensitive regions in Joint Photographic Experts Group (JPEG) images. Our goal is to encipher the confidential content in a way that guarantees high resistance to common attacks without severely compromising the encoding speed and bitrate cost. The encryption mechanism comprises two modules: chaotic confusion and diffusion; the first module is governed by means of nonlinear shuffling applied on the quantized AC (Alternating Current) coefficients belonging the region of interest (ROI), while the second module is ruled by means of XOR operation that encrypts the shuffled components using a cumulative one-dimensional chaotic map. The whole cryptosystem is controlled by the chaotic sequences generated by chaotic maps. Experimental results demonstrate that the proposed cryptocompression scheme is proven to be effective in balancing the trade-off between robustness and hiding ability while guaranteeing reversible recovery of the protected data.
The latest video coding standard HEVC has the potential to rapidly conquer many areas of video compression due to the significant boost in coding efficiency compared to its predecessor. Unfortunately there is the draw...
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ISBN:
(纸本)9781479919499
The latest video coding standard HEVC has the potential to rapidly conquer many areas of video compression due to the significant boost in coding efficiency compared to its predecessor. Unfortunately there is the drawback that this gain in efficiency comes at the expense of complexity. Encoders have to select the best possible coding mode from a huge set of available modes offered by the standard. In this paper the intra mode selection process is accelerated by early estimation of the distortion introduced by a certain mode, which may be applied in addition to other fast mode decision schemes. Due to the online adaptation of our proposed estimator, the approach is tolerant to different coding settings and input sequences. Using early distortion estimation results in a potential encoder speed-up of 24.83% on average, accompanied by an average bitrate increase of 2.92%.
We point out the interest in using Zipf law in the wide field of image analysis. We show how it is possible to adapt it to image analysis. There are many applications; here we are concerned with image compression and ...
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We point out the interest in using Zipf law in the wide field of image analysis. We show how it is possible to adapt it to image analysis. There are many applications; here we are concerned with image compression and focus on a new definition of quality measurement of an image obtained after a decompression process. First we propose a coding mode of an image using some neighborhood of each pixel and the Zipf law. Then some significant comparisons can be achieved between different images. A statistical study of the patterns present in the image allows a characterization of the information contained in the image so that a measurement of information modification is made possible. We define two quantitative parameters; one indicates the structure of the image whereas the second indicates high content information. The examples of the images of a landscape and of a female face are used to illustrate the influence of the compression rate.
This paper presents a comparison of original couplings between color filter array demosaicking methods and wavelet compression (JPEG2000). We focus on an application handling huge microscopy images (64 K/spl times/64 ...
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This paper presents a comparison of original couplings between color filter array demosaicking methods and wavelet compression (JPEG2000). We focus on an application handling huge microscopy images (64 K/spl times/64 K pixels) for telediagnosis. Whereas coding is usually achieved after interpolation, we also consider demosaicking after decompression in order to optimize image quality for a given size of data. We also study the JPEG2000 stream structure for interactive visualization.
A data-adaptive motion estimation algorithm and its low-power VLSI implementation are presented in this paper. Basically, the proposed technique exploits the input data variations to dynamically reconfigure the search...
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A data-adaptive motion estimation algorithm and its low-power VLSI implementation are presented in this paper. Basically, the proposed technique exploits the input data variations to dynamically reconfigure the search window size of an exhaustive block-matching search. As proved by computer simulations, the same high performance of the conventional full-search approach is achieved for a remarkable reduction of the circuit power consumption.
We use pictures as evidence. It is increasingly important to detect the manipulated areas of digital images. But we also face fabricated photographs to distort it. As the days go by, the fabricated image becomes more ...
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ISBN:
(数字)9781538692103
ISBN:
(纸本)9781538692110
We use pictures as evidence. It is increasingly important to detect the manipulated areas of digital images. But we also face fabricated photographs to distort it. As the days go by, the fabricated image becomes more sophisticated and invisible. Many people have tried to improve image forensics technology to distinguish this fabricated images. In this paper, We investigate how to detect manipulated areas of a digital image like JPEG image format that used lossy compression. We use the features of the lossy compression to detect the manipulated image by the error level analysis(ELA) that is the analysis digital data such as JPEG format. And we're going to show that the Error Level Analysis(ELA) can work as image forensics. Through this analysis, we will be able to better judge manipulated images.
We present new algorithms to detect and track multiple moving objects in a static surveillance video that uses MPEG-2 compression. The algorithm detects moving objects based on the location of field-based motion estim...
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We present new algorithms to detect and track multiple moving objects in a static surveillance video that uses MPEG-2 compression. The algorithm detects moving objects based on the location of field-based motion estimated macroblocks in inter-prediction frames, and tracks their movements along video scene by using an extension of Kalman filter that uses the objects' velocity information. Experiments show that the algorithm outputs highly accurate results in various scenarios.
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