In modern embedded systems, the C2RTL (high-level synthesis) technology helps the designer to greatly reduce time-to-market, while satisfying the performance and cost constraints. To attack the performance challenges ...
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ISBN:
(纸本)9781467307703
In modern embedded systems, the C2RTL (high-level synthesis) technology helps the designer to greatly reduce time-to-market, while satisfying the performance and cost constraints. To attack the performance challenges in complex designs, we propose a FIFO-connected hierarchical approach to replace the traditional flatten one in stream applications. Furthermore, we develop an analytical algorithm to find the optimal FIFO capacity to connect multiple modules efficiently. Finally, we prove the advantages of the proposed method and the feasibility of our algorithm in seven real applications. Experimental results show that the hierarchical approach can have an up to 10.43 times speedup compared to the flatten design, while our analytical FIFO sizing algorithm shrinks design time from hours to seconds with the same accuracy compared to the simulation based approach.
System-on-chip market relies on implementing multimedia products as embedded software modules on re-usable architecture platforms. The efficient implementation of the Jpeg2000 encoder engine is still challenging HW an...
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System-on-chip market relies on implementing multimedia products as embedded software modules on re-usable architecture platforms. The efficient implementation of the Jpeg2000 encoder engine is still challenging HW and SW developers with its highly complex computational kernel. While several hardwired Jpeg2000 enconding modules exist, the efficient programming of Jpeg2000 on re-usable embedded high-performance cores is still an open issue. We performed an exhaustive analysis of the attainable execution speedup when specialized SW is run on different architectures built upon a multimedia-oriented VLIW processor core, demonstrating that the compression effort can be reduced by more than 50% if a SIMD-extended architecture is adopted, and by 80% when the code is optimized for a multi-core architecture.
The robust technique to steganalyse the jpeg images is projected. The planned steganalytic idea is consisted of three sections: Feature extraction, Bayesian ensemble classifier and analysis. In the initial section, hi...
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The robust technique to steganalyse the jpeg images is projected. The planned steganalytic idea is consisted of three sections: Feature extraction, Bayesian ensemble classifier and analysis. In the initial section, high-dimensional feature vector is computed for every JPEG picture within a training set. Training set contains the samples of original plus stego images. In the second fraction, family unit of sub-classifiers which is trained on the feature vectors will be incorporated to formulate optimized decisions used for doubtful images. This is done via Bayesian system. Bayesian classifier is an easy probabilistic classifier. Bayesian classifier is built based on applying Baye's theorem with well-built independence assumptions. After classification, analysis is made about the classification. This is to confirm that there is no misclassification in the result. Finally accuracy of the classifier can be calculated using Markov Random Field cliques.
The advent of consumer-level plenoptic cameras has sparkled the interest towards the design of efficient compression techniques for light field images. State-of-the-art compression systems such as HEVC prove to be ine...
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ISBN:
(纸本)9781509059676
The advent of consumer-level plenoptic cameras has sparkled the interest towards the design of efficient compression techniques for light field images. State-of-the-art compression systems such as HEVC prove to be inefficient when directly applied on this type of data due to the inherent spatial discontinuities among neighboring microlens images. In this paper, a novel light field image compression system is proposed. The disk-shaped pixel clusters corresponding to each microlens in the light field image are efficiently predicted based on the neighboring disks. In this context, an optimized linear prediction design based on L1 minimization of the residuals is proposed. K-means clustering is employed on training data in order to determine the optimized set of predictors. The experimental results on an extensive set of light field images demonstrate that the proposed coding scheme yields an average of 2.93 dB and 3.22 dB gain in PSNR, and 52.67% and 57.27% average rate savings compared to HEVC and JPEG2000 respectively.
In this paper, the quality evaluation of the responses to the Call for Proposals (CfP) of JPEG Pleno Point Cloud coding is presented. Three responses to the CfP were evaluated together with the state of the art anchor...
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In this paper, the quality evaluation of the responses to the Call for Proposals (CfP) of JPEG Pleno Point Cloud coding is presented. Three responses to the CfP were evaluated together with the state of the art anchor codecs G-PCC and VPCC from MPEG. The JPEG committee selected a set of eight point clouds that were encoded at different pre-established bitrates. For the subjective evaluation of the responses to the CfP, a set of video sequences were created where the reference and distorted decoded point clouds were rotated about their axes side by side. Furthermore, the objective quality metrics PCQM, PSNR D1, PSNR D2, PSNR Y and PSNR YUV were computed, and compared with the subjective evaluation results. This study revealed that the deep learning solutions outperformed G-PCC but were still below the performance of V-PCC regarding color representation. PCQM showed the best performance in predicting the compression quality.
The design and implementation of Web-based Medical Image Archiving and Communication System for Teleimaging which was developed using software such as Borland C++ Builder 5.0, MyDAC, PHP, Apache and MySQL for image ac...
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The design and implementation of Web-based Medical Image Archiving and Communication System for Teleimaging which was developed using software such as Borland C++ Builder 5.0, MyDAC, PHP, Apache and MySQL for image acquisition system, image viewer and web-based information system. The system provides the following facilities: (1) Image acquisition system can connect and display medical image signal from endoscope in real-time and it can save single frame in .bmp, .jpg, .jpg2, .avi and .dcm file format into database system. (2) Image viewer is developed for DICOM viewing and image processing based on local contrast enhancement, adaptive interpolation technique, colour transformation and cine loop. (3) Web-based information system developed under a cooperation effort between Rangsit University and Hospital. It presents a set of tools that allow physician to manipulate and annotate images. The results shown that the system enables physician to store, display, retrieve and transmit medical images throughout interfaces that are used to present data to the user via a choice of viewing tools.
Sparsity has shown promising results in various image restoration applications. Recent advances have suggested that structured or group sparsity often leads to more powerful results in compression artifact reduction s...
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ISBN:
(纸本)9781467372596
Sparsity has shown promising results in various image restoration applications. Recent advances have suggested that structured or group sparsity often leads to more powerful results in compression artifact reduction studies. In this paper, we introduce nonlocal multi-dimension sparsity in an adaptive space-transform domain, which performs multi-scale wavelet transform on DCT coefficients of similar patches. The new transform efficiently reduces image redundancies between inner block and inter block simultaneously, thus it can substantially achieve sparse representation for images. Furthermore, a band-based filter is proposed to reduce compression artifacts by shrinking transform coefficients adaptively. Because of the overlapped processing, adaptive aggregation is used to combine different estimates for each block. The proposed algorithm achieves improvement over some methods in terms of both objective and subjective qualities.
This MPEG2 video decoder LSI decodes MPEG2 standard bit streams. The compression algorithm in the MPEG2 is based on discrete cosine transform (DCT), variable length coding, and motion compensation similar to the MPEG1...
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This MPEG2 video decoder LSI decodes MPEG2 standard bit streams. The compression algorithm in the MPEG2 is based on discrete cosine transform (DCT), variable length coding, and motion compensation similar to the MPEG1, the earlier standard. However, the processing speed should be more than four times faster than MPEG1. Moreover, several algorithms and structures to handle interlaced pictures are added to the MPEG1 standard. This LSI decodes in real time all motion-compensation modes and picture structures in MPEG2 bit streams of not only CCIR601 but also HDTV resolution.< >
Cryptography is one of very much spoken word nowadays. Security of messages transfer is very important and specialists have a work to think a new cryptography up. Cryptography, on the other hand, can be and is very of...
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Cryptography is one of very much spoken word nowadays. Security of messages transfer is very important and specialists have a work to think a new cryptography up. Cryptography, on the other hand, can be and is very often used by jailbirds, so cryptanalysts have also very important job to detect and reveal and then decode the coded messages. Steganography is additional method leading to better secure up messages which goes hand by hand with cryptography, that why reveal of such a message is not easy. This paper deals with neural network models that are able to detect steganography content coded by a program OutGuess. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this article show that used model had almost 100% success in revealing steganography by means of OutGuess.
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