In this paper, a new watermarking scheme in the joint time-frequency domain is introduced. Wigner distribution is used to transform an image into the spatial-spectral domain. The proposed method selects the time-frequ...
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In this paper, a new watermarking scheme in the joint time-frequency domain is introduced. Wigner distribution is used to transform an image into the spatial-spectral domain. The proposed method selects the time-frequency cells to be watermarked based on the particular image's energy distribution in the joint domain. This approach ensures the imperceptibility of the embedded watermark. It is shown that embedding in the time-frequency domain is equivalent to a nonlinear embedding function in the spatial domain. A corresponding watermark detection algorithm is also introduced. The performance of the proposed watermarking algorithm under possible attacks, such as noise, re-sampling, rotation, filtering, and JPEG compression is illustrated
This paper presents a software and hardware co-design flow for the coarse-grained systems on chip. It enables a multi-target design space exploration (MT-DSE) algorithm with multiple objectives such as chip area utili...
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This paper presents a software and hardware co-design flow for the coarse-grained systems on chip. It enables a multi-target design space exploration (MT-DSE) algorithm with multiple objectives such as chip area utilization, energy consumption, core efficiency, interconnection structure, application workload and speedup aware. With the help of the MT-DSE tool, the proposed design flow can supply a valuable assistance for architecture designers to develop a well trade-off multi-processor system. In contrast, most of state-of-the-art design space exploration tools rely on varieties of simulations or implementations that are quite time-consuming. Benefit from no such dependences, the MT-DSE method could turn out the optimized alternative very fast with multiple factors balanced. Besides, the tool is employed at a very early stage in the component based systems design and only needs a little profiling information which can greatly reduce the development term of the design. As an illustration, the JPEG compression algorithm is chosen to demonstrate how the tool exploits a given application and guides to build the most desired architecture.
In this paper, we propose a real-sense vestibular rehabilitation systems using sensory experience based on multiple sensory media. This system provides realistic vestibular rehabilitation exercises through IPTV channe...
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In this paper, we propose a real-sense vestibular rehabilitation systems using sensory experience based on multiple sensory media. This system provides realistic vestibular rehabilitation exercises through IPTV channel without visiting a rehabilitation center. It provides sensory effects like wind, light, scent, vibration and so on in order to provide pleasure and durability.
In this paper, a multichannel sound scene visualization tool is designed and implemented based on MPEG surround multichannel decoder. The aim of this tool is to effectively display frequency dependent dynamic characte...
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In this paper, a multichannel sound scene visualization tool is designed and implemented based on MPEG surround multichannel decoder. The aim of this tool is to effectively display frequency dependent dynamic characteristics of multichannel sound scene. It uses only spatial cue parameters extracted from MPEG Surround bitstream without additional computations such as T/F transform.
Limited storage and bandwidth have long necessitated the use of images and videos in compressed formats. Resizing of images in compressed domains such as discrete cosine transform (DCT) are developed primarily to avoi...
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Limited storage and bandwidth have long necessitated the use of images and videos in compressed formats. Resizing of images in compressed domains such as discrete cosine transform (DCT) are developed primarily to avoid the computation associated to decompression and compression for spatial techniques. An important application of this work is transcoding of image and video content to achieve reduction of spatial resolution. In this work, arbitrary resizing of images by factors of P/Q times R/S, where P, Q, R, and S are positive integers is considered. An efficient approach is derived by performing up-sampling and down-sampling simultaneously. All computations are carried out with N times N DCT blocks to simplify integration with block based coders such as JPEG and MPEG. Simulation results revealed that our proposed approach achieves significant reduction up to 50% of the computational cost and visually sharper images compared to existing methods.
For the purpose of improving the coding efficiency, this paper attempts to combine psychoacoustic model for perceptual evaluation of audio quality in BS.1387 with perceptual audio coder. The principle of this new psyc...
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For the purpose of improving the coding efficiency, this paper attempts to combine psychoacoustic model for perceptual evaluation of audio quality in BS.1387 with perceptual audio coder. The principle of this new psychoacoustic model is analyzed in theory, and corresponding improvements are proposed to make it be effectively applied to actual audio coder. Both this new model and MPEG psychoacoustic model 2 are implemented in the latest AVS reference coder of China, and comparison of output masking parameter and subjective hearing test between the two models are conducted. Experimental results show that the proposed psychoacoustic model is feasible
The paper addresses the problem of localization of video endoscopic capsule in the gastrointestinal (GI) tract on the base of appropriate classification of images received from it. In this context usefulness of MPEG-7...
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The paper addresses the problem of localization of video endoscopic capsule in the gastrointestinal (GI) tract on the base of appropriate classification of images received from it. In this context usefulness of MPEG-7 image descriptors as classification features has been verified. Novelty of the presented approach consists in joint application of vector quantization technique to finding representative codebooks of MPEG-7 features for different parts of GI tract and Principal Component Analysis for reduction of feature vectors' dimensions. In this initial research recognition of the upper (esophagus, stomach, duodendum) and the lower (colon) part of the GI tract has been performed. It has turned out that using the Homogenous Texture (HT) descriptor offers about 95% classification accuracy.
Objective Image Quality Assessment (IQA) of a stereo pair entails considering the depth information in the 3D scene. Initially 2D Quality Assessment algorithms were used on stereopairs but failed to address IQA of all...
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ISBN:
(纸本)9781509008506
Objective Image Quality Assessment (IQA) of a stereo pair entails considering the depth information in the 3D scene. Initially 2D Quality Assessment algorithms were used on stereopairs but failed to address IQA of all distortion types in stereo pairs as depth information was missing in it. Conventional QA measures like MSE and PSNR involved only error detection between reference and distorted images. As recent study shows Human Visual System (HVS) is more adapted to recognizing edges and contours from natural scenes than pixel level errors, Mean Edge Structure Similarity (MESSIM) algorithm has been developed and observation studied. It is compared with other IQA tools like MSSIM, MSE, PSNR, AD, SC, IF, Spectral Activity, Spatial Frequency and Entropy. MESSIM is observed to give better correlation with the subjective score than the rest of the IQA tools. A single, cyclopean image is synthesized from the left and right images of a stereo pair for quality assessment between reference and distorted image. IQA based on cyclopean image gives better correlation results than using 2D QA tool of averaging quality indices of left and right images.
Differential codes transmitting in pyramidal CMAC networks to improve image PSNR is proposed in this paper. We propose a novel coding procedure, which can make the CMAC network use few computations to learn the featur...
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Differential codes transmitting in pyramidal CMAC networks to improve image PSNR is proposed in this paper. We propose a novel coding procedure, which can make the CMAC network use few computations to learn the feature of transmitted image with only one-shot training. So some sampled data of the original image can be sent to reconstruct a coarse image quickly. In the meanwhile, differential codes are transmitted in the proposed pyramidal architecture by the request of receiver to improve the image quality. As a result, the reconstructed image at the bottom of pyramidal CMAC networks will get higher PSNR. Finally, pyramidal CMAC networks are applied to JPEG compression. Experimental results demonstrate the proposed method can get higher PSNR at lower bit rate after reconstruction.
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