High Throughput and Low Cost Architecture for the Forward Quantization of the H.264/AVC Video Compression Standard

This work presents a dedicated hardware design for the Forward Quantization Module (Q module) of the H.264/AVC Video Coding Standard, using optimized multipliers. The goal of this design is to achieve high throughput rates combined with low hardware consumption. The architecture was described in VHDL and synthesized to the EP2S60F1020C3 Altera Stratix II FPGA and to the TSMC 0.18μm Standard Cell technology. The architecture is able to operate at 364.2 MHz as a maximum operation frequency. At this frequency, the architecture is able to process 117 QHDTV frames (3840x2048 pixels) per second. The designed architecture can be used in low power and low cost applications, since it can process high resolution in real time even with very low operation frequencies and with low hardware consumption. In the comparison with related works, the designed Q module achieves the best results of throughput and hardware consumption

HIGH THROUGHPUT AND LOW COST ARCHITECTURE FOR THE FORWARD QUANTIZATION OF THE H.264/AVC VIDEO COMPRESSION STANDARD

This work presents a dedicated hardware design for the Forward Quantization Module (Q module) of the H.264/AVC Video Coding Standard, using optimized multipliers. The goal of this design is to achieve high throughput rates combined with low hardware consumption. The architecture was described in VHDL and synthesized to the EP2S60F1020C3 Altera Stratix II FPGA and to the TSMC 0.18µm Standard Cell technology. The architecture is able to operate at 364.2 MHz as a maximum operation frequency. At this frequency, the architecture is able to process 117 QHDTV frames (3840x2048 pixels) per second. The designed architecture can be used in low power and low cost applications, since it can process high resolution in real time even with very low operation frequencies and with low hardware consumption. In the comparison with related works, the designed Q module achieves the best results of throughput and hardware consumption