مقالههای Ehsan Akhtarkavan
توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقالههای نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده میشوند.
اطلاعات انتشار: ششمین کنفرانس مهندسی برق و الکترونیک ایران، سال ۱۳۹۳
تعداد صفحات: ۵
3D rendering applications are not only data intensive but also computation intensive. These applications are capable of parallel frame rendering. With the success of cloud computing technology and therefore providing robust computation and storing services through Internet, now we think of migrating traditional processing methods to cloud infrastructure in a cost effective manner. Performing multimedia processes used to be the concern of many users and organizations. In this paper we are going to introduce an efficient method to facilitate such processes.Regarding to the performed scenarios in High Performance Computing Center of Amirkabir University of Technology on ESXi 5.1 hypervisor, we concluded that increase in number of virtual machines (even when reducing provisioned hardware) rendering time will fall incredibly and as a result operational costs will reduce too.<\div>
۲A Secure Blind Image Steganography Method Based On Joint LWT–DCT Transformation Using Lattice Vector Quantization
اطلاعات انتشار: دومین کنفرانس بین المللی رویکردهای نوین در علوم، مهندسی وتکنولوژی، سال ۱۳۹۴
تعداد صفحات: ۱۷
Steganography is the art of hiding sensitive data within a cover image, audio, or text. Impairments of the human visual perception helps the sensitive data become undetectable. Lattice vector quantization is an efficient compression tool. In this paper a new steganography algorithm has been proposed based on lattice vector quantization and Joint LWT–DCT Transformation that embedding in certain coefficient sets of a 3–level lifting wavelet transform of a host image. Then, DCT transform of each selected LWT sub–band is computed and the important data bits are embedded in the middle frequencies coefficients of the corresponding DCT block with using lattice vector quantization. As a result, greatly reduces the likelihood of success of mining hidden.In this method, we make appropriate level of security by using error correction coding Reed–Solomon (63,11) and the results show high security for data hiding while image quality is accepted.<\div>
۳Multiple Descriptions Video Coding Using Coinciding Lattice Vector Quantizer for H.264\AVC and Motion JPEG2000
اطلاعات انتشار: World Applied Sciences Journal، بيست و يكم،شماره۲، ۲۰۱۳، سال ۰
تعداد صفحات: ۱۳
Widespread use of networked multimedia applications emphasizes the need for robust communication protocols that can provide fault tolerance and error resiliency. Multiple–description (MD) coding is a technique used to mitigate channel failure when retransmission is expensive or impossible. Multiple descriptions lattice vector quantization has become a popular choice for robust data transmission over unreliable network channels. In this paper, a new generic MD video coding scheme is proposed that is based on coinciding similar sublattices of the hexagonal lattice. The proposed video coding scheme has been exploited to form new MD video coding schemes: MDCLVQ–H.264\AVC and MDCLVQ–Motion JPEG2000. The experimental results for several reference videos show that the encoding performance of the scheme improves, while the quality of the videos in terms of PSNR of the central decoder remains acceptable. Thus, the error resiliency of the scheme improves without a significant drop in the quality of the reconstruction.
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