الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
The increasing density offered by Field Programmable Gate Arrays (FPGA), coupled with their short design cycle, has made them a popular choice for implementing a wide range of algorithms and complete systems.At this point, storage space and network traffic conditions are still the major bottlenecks in video encoding, so there should be a market for hardware H.264 encoders that can perform compression on video without needing a full-size computer and access to a power outlet.
In this thesis we propose a novel approach based on a new solution framework. The new proposed algorithm improves the efficiency of H.264 video encoding standard. We called the new prediction scheme the Best Prediction Matrix Mode (BPMM). The main idea behind it is to combine the most usable intra prediction modes,{vertical horizontal – DC}, into a new efficient prediction mode The performance of our proposed prediction scheme is evaluated using VHDL with respect to compression ratio, Peak Signal to Noise Ratio (PSNR) and bit rate. The results show that our BPMM enhances the compression ratio and correspondingly the bit rate and it increases the PSNR The power consumption of a FPGA video encoder is analyzed. The results indicate that BPMM algorithm, which reuses the intra prediction results generated during the encoding process maintains almost the same level of execution time and power consumption.