Medical imaging plays a key role within modern hospital management systems for diagnostic *** methodologies are extensively employed to mitigate storage demands and enhance transmission speed,all while upholding image...
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Medical imaging plays a key role within modern hospital management systems for diagnostic *** methodologies are extensively employed to mitigate storage demands and enhance transmission speed,all while upholding image ***,an increasing number of hospitals are embracing cloud computing for patient data storage,necessitating meticulous scrutiny of server security and privacy ***,considering the widespread availability of multimedia tools,the preservation of digital data integrity surpasses the significance of compression *** response to this concern,we propose a secure storage and transmission solution for compressed medical image sequences,such as ultrasound images,utilizing a motion vector watermarking *** watermark is generated employing an error-correcting code known as Bose-Chaudhuri-Hocquenghem(BCH)and is subsequently embedded into the compressed sequence via block-based motion *** the process of watermark embedding,motion vectors are selected based on their magnitude and phase *** embedding watermarks,no specific spatial area,such as a region of interest(ROI),is used in the *** embedding of watermark bits is dependent on motion *** reversible watermarking allows the restoration of the original image sequences,we use the irreversible watermarking *** reason for this is that the use of reversible watermarks may impede the claims of ownership and legal *** restoration of original data or images may call into question ownership or other legal *** peak signal-to-noise ratio(PSNR)and structural similarity index(SSIM)serve as metrics for evaluating the watermarked image *** all images,the PSNR value exceeds 46 dB,and the SSIM value exceeds *** results substantiate the efficacy of the proposed technique in preserving data integrity.
Due to the high computational complexity of the full-search algorithm for video coding, techniques to accelerate the execution of the full-search algorithm are needed for real-time implementations of current video com...
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ISBN:
(纸本)9781424403868
Due to the high computational complexity of the full-search algorithm for video coding, techniques to accelerate the execution of the full-search algorithm are needed for real-time implementations of current video compression standards. In this paper, a technique of using eight-bit partial sums of four luminance values is proposed to reduce the computational complexity of the original full-search algorithm without loss of its accuracy. Furthermore, since the proposed technique is suitable for the implementation on the single instruction multiple data (SIMD) architectures, the byte-type data-parallelism of the SIMD architecture can be utilized to further accelerate the execution of the proposed technique. Simulation results for the benchmark video test sequences demonstrate that the proposed technique can significantly accelerate the execution of the full-search algorithm on SIMD architectures without loss of its accuracy.
Based oil evolution strategies (ESs) with correlated mutations. a novel algorithm - adaptively correlated ES motion estimation (ACESME) is presented. ESs consider the evolution progress on the phenotype level. In cont...
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ISBN:
(纸本)0780385543
Based oil evolution strategies (ESs) with correlated mutations. a novel algorithm - adaptively correlated ES motion estimation (ACESME) is presented. ESs consider the evolution progress on the phenotype level. In contrast, genetic algorithms focus on heredity genetic mechanism on the chromosomes level. The mutation operation in ESs accords with the normal distribution law. In the ACESME algorithm, the (mu, lambda)-ES algorithm with correlated mutations is adopted to block motion estimation. In this algorithm the motion direction factor participates in motion vector computing as a variable for the first time, and affects the whole search process, neither just being an implicit factor nor a predictive measure. The adaptive schemes are advanced in the step length control and Population sizing. Experimental results demonstrate that this algorithm has similar performance to that of the full-search (FS) algorithm. Furthermore, owing to the inherent parallelism and low complexity of ESs, ACESME is applicable for VLSI implementation.
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