In this paper,. we propose an effective sequential lossless compression scheme which performs sequentially pixel by pixel in raster-scan order, also so called one-pass scheme as opposed to multiple-pass scheme. the pr...
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ISBN:
(纸本)9780769533049
In this paper,. we propose an effective sequential lossless compression scheme which performs sequentially pixel by pixel in raster-scan order, also so called one-pass scheme as opposed to multiple-pass scheme. the proposed method has two major components: fuzzy neural network predictor and context based adaptive arithmetic coder. the proposed predictor which is based on T-S fuzzy neural network system effectively exploits structural redundancies between mosaic-like color components, and its residuals are well-modeled by a two-side geometry distribution centered at zero. An advantage of the proposed compression method is the clean separation between prediction and entropy coding of prediction errors. Any entropy coder, be it Huffman or arithmetic, static or adaptive, binary or m-ary, can be easily interfaced with our predictor. Consequently, we can encode mosaic images at low complexity level. Compared with existing methods of lossless compression for Bayer raw data, the performance of proposed method is apparently the best.
Transform coding based on the Karhunen-Loeve transform (KLT), the discrete cosine transform (DCT), and the discrete wavelet transform (DWT) is well-understood for optical images. Transform coding applied to synthetic ...
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ISBN:
(纸本)9781424422821
Transform coding based on the Karhunen-Loeve transform (KLT), the discrete cosine transform (DCT), and the discrete wavelet transform (DWT) is well-understood for optical images. Transform coding applied to synthetic aperture radar (SAR) data, however, has not been well-studied. this paper compares the results of compressing SAR images when it is available in Cartesian and polar formats. We compare the compression results based on six performance criteria-mean-squared error, mean absolute error, peak signal-to-noise ratio, energy compaction, transform gain, and compression *** boththe formats the phase information of the compressed data is preserved to a great extent. A block adaptive Max quantizer is used with 1-5 bit quantization of the components. the quality of the reconstructed data is compared in terms of compression ratio and quality parameters: signal to noise ratio (SNR), standard deviation of the phase (PSD), and mean phase error (MPE). the parameters are calculated for SAR raw data, complex data and 8-bit gray scale image. Finally, original(Fig.4) and reconstructed gray scale images(Fig. 5) are presented.
this paper introduces a new interactive mobile TV application related to parliament session. this application aims to provide additional information to mobile TV users by inserting automatically and in real-time inter...
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ISBN:
(纸本)9780819468482
this paper introduces a new interactive mobile TV application related to parliament session. this application aims to provide additional information to mobile TV users by inserting automatically and in real-time interactive contents (complementary information, subject of the current session...) into original TV program, using MPEG-4 streaming video and extra real time information (news, events, databases... from RSS streams, Internet links...). Here, we propose an architecture based on plug-in multimedia analyzers to generate the contextual description of the media and on an interactive scene generator to dynamically create related interactive scenes. Description is implemented according to the MPEG-7 standard.
When considering the multimedia production chain from the content creation to the end-user consumption, watermarking provides a well defined functionality: property right identification and copy-maker tracking. Howeve...
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ISBN:
(纸本)9780819468482
When considering the multimedia production chain from the content creation to the end-user consumption, watermarking provides a well defined functionality: property right identification and copy-maker tracking. However, its place within this chain is not yet clearly stated. the present paper describes an objective study aiming at establishing the functional peculiarities in the cases when watermarking follows compression. First, some general limits concerning the transparency, robustness and capacity in compressed (WEG-4 AVC) domain watermarking are identified. then, these results are discussed and compared to the uncompressed domain watermarking case. the experiments were carried out on a video corpus of 5 video sequences, each of them of 35000 frames (about 25 minutes each), coded at 256kbit/s.
In Wyner Ziv video coding, efficient compression is achieved by exploiting source statistics at the decoder only, which is radically different front conventional video coding. Prior works on this topic generally use c...
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ISBN:
(纸本)9780769529295
In Wyner Ziv video coding, efficient compression is achieved by exploiting source statistics at the decoder only, which is radically different front conventional video coding. Prior works on this topic generally use channel coding to implement Slepian-Wolf codec. However, the correlation between some bitplanes of source and that of side information may be very weak. At that time, the coding performance of Slepian- Wolf codec should be lower than that of intracoding codec. If we can divide the video data into strongly cot-relative data encoded by Slepian-Wolf codec and weakly correlative data encoded by Intracoding codec, the coding performance of video codec would be improved In this paper, we proposed a novel distributed video coding scheme with part Intracoding. Simulation results show that the proposed scheme can achieve better compression efficiency while keeping the simple encoding property.
Steganography is the embedding of secret message in the cover image for covert communication. In this paper, we present a High Capacity data Embedding using Colour Palette Decomposition (CPD) in which the payload is e...
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ISBN:
(纸本)9780889866461
Steganography is the embedding of secret message in the cover image for covert communication. In this paper, we present a High Capacity data Embedding using Colour Palette Decomposition (CPD) in which the payload is embedded into the cover image as an index of shifted centroids to derive the stego image. the error control coding is applied to stego image to increase PSNR, capacity and security. It is observed that our algorithm has higher PSNR and capacity in comparison to earlier works.
We present the packet wavelet coder implemented with Cellular Neural Network architecture, and show its superiority over the pyramidal wavelet representation. this paper also demonstrates how the cellular neural unive...
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ISBN:
(纸本)9780769527765
We present the packet wavelet coder implemented with Cellular Neural Network architecture, and show its superiority over the pyramidal wavelet representation. this paper also demonstrates how the cellular neural universal machine (CNNUM) architecture can be extended to image compression. the packet wavelet coder performs the operation of image compression, aided by CNN architecture. It uses the highly parallel nature of the CNN structure and its speed outperforms traditional digital computers. In packet wavelet coder, an image signal can be analyzed bypassing it through an analysis filter banks followed by a decimation process, according to the rules of packet wavelets. the Simulation results indicate that the quality of the reconstructed image is superior by using packet wavelet coding scheme. Finally, a quantization operation is performed in order to translate the coefficient values to discrete environment. Our results are compared withthat of pyramidal wavelet representation.
the hot topic of moving object extraction has been transferred from the pixel domain to directly from the compressed stream. the existed work of compressed-domain moving object extraction in the literature usually can...
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ISBN:
(纸本)9780769529295
the hot topic of moving object extraction has been transferred from the pixel domain to directly from the compressed stream. the existed work of compressed-domain moving object extraction in the literature usually can meet the requirement of real-time performance. However, the accuracy of extracted objects is too coarse. the reason is that the information utilized in the compressed-domain extraction process is not abundant and noisy. In order to solve this problem, a novel moving object extraction scheme with high accuracy for MPEG stream is proposed. Firstly, the contour-feature and motion vector based projection are fused to extract the coarse object in an efficient way. Second, the blocks in I frame are partially decoded to improve the segmentation accuracy. the innovation lies in a threshold method of image segmentation with automatic seeding is applied on the DC+2AC image of I frame to extract the contour-feature, which is combined withthe projection of motion vector field of P frame to complete the coarse segmentation. then tradeoff is made between the executive time and results' accuracy. High accuracy is acquired at the cost of partially decoding time and region-growing processing time, which is worthwhile at the expense of such a little more time to refine the result. Experiments reveal that the proposed algorithm has the attributes of both real-time and high accuracy at the same time.
the vector approximation file (VA-file) approach is an efficient high-dimensional indexing method using compression technique to overcome the difficulty of 'curse of dimensionality'. the VA-file method combine...
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ISBN:
(纸本)0769528740
the vector approximation file (VA-file) approach is an efficient high-dimensional indexing method using compression technique to overcome the difficulty of 'curse of dimensionality'. the VA-file method combined with tree-based index structure can improve the querying efficiency, but it still succumbs to the 'curse of dimensionality'. In this paper, a new high-dimensional indexing structure called PCR-tree for non-uniform distributed data sets was presented, which employs R-tree to manage the approximate vectors in the reduced-dimensionality space. the approximate vectors can be built in the K-L transform domain, and low dimensional MBRs (minimum bounding rectangles) can be used to manage the approximations on the first few principal components. When performing k -nearest neighbor search, a lower-bound filtering algorithm is used to reject the improper nodes of PCR-tree, which can reduce the computational complexity and I/O cost without any dismissals. the experiment results on large imagedatabases show that the new approach provides a faster search speed than other tree-structured vector approximation approaches.
An important issue in embedding watermark bits in compressed video stream is to keep the bit-rate unchanged after the watermarking. this is a very difficult problem for high efficient compression methods such as H.264...
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