پديد آورنده :
بهنام فر، پريسا
عنوان :
تخمين حركت در تصاوير ويدئويي بر اساس روشهاي تركيبي
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
ده، 97، [II] ص.: مصور، جدول، نمودار
يادداشت :
ص. ع به: فارسي و انگليسي
استاد راهنما :
شادرخ سماوي
توصيفگر ها :
فشرده سازي تصاوير ويدئويي , فضاي رنگ , شبكه بندي تصوير
تاريخ نمايه سازي :
31/4/87
دانشكده :
مهندسي برق و كامپيوتر
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتال
چكيده انگليسي :
Abstract Widespread application of digital video images has increased the demand to store such data in finite memory space and to transmit them over channels with limited bandwidth This increasing demand represents a critical need to compress video images Current video compression methods which use motion estimation to remove temporal redundancy in consecutive video frames divide images into blocks or meshes Block based methods are not capable of distinguishing movements that involve rotation shear zoom in or zoom out Moreover these methods assume the same motion for all pixels in a block The required time for motion estimation is an important bottleneck in full search algorithms Mesh based methods can model different kinds of motions by mathematical functions however they are computationally more expensive than block based techniques In this thesis several block and mesh based methods are reviewed Then a method for fast motion estimation and another method which increases the peak signal to noise ratio PSNR are proposed The first method adaptively adjusts the size of the search window in each frame consequently for frames with limited motions only a small number of operations are used Hence run time will decrease significantly without compromising image quality In the second proposed method motion estimation is performed using hybrid block and mesh based methods This is done by reconstructing each block with the method that minimizes reconstruction error As a result significant improvements in the quality of reconstructed images are achieved using PSNR criterion pdfMachine is a pdf writer that produces quality PDF files with ease Get yours now Thank you very much I can use Acrobat Distiller or the Acrobat PDFWriter but I consider your product a lot easier to use and much preferable to Adobe s A Sarras USA
استاد راهنما :
شادرخ سماوي
