Performance Analysis of 2D DCT for Ultra High Definition Video Coding

Abstract: Data compression is the reduction or elimination of redundancy in data representation in order to achieve savings in storage and communication costs. Data compression techniques can be broadly classified into two categories: Lossless, Lossy schemes. In lossless methods, the exact original data can be recovered while in lossy schemes a close approximation of the original data can be obtained. The lossless method is also called entropy coding schemes since there is no loss of information content during the process of compression. Digital images require an enormous amount of space for storage. This work is to design VLSI architecture for the JPEG Baseline Image Compression Standard. The architecture exploits the principles of pipelining and parallelism to the maximum extent in order to obtain high speed the architecture for discrete cosine transforms and the entropy encoder are based on efficient algorithms designed for high speed VLSI. In recent years, a working group known as Joint Photographic Expert Group (JPEG) has defined an international standard for coding and compression of continuous tone still images. This standard is commonly referred to as the JPEG standard. Two dimensional DCT takes important role in compression. Architecture and VERILOG design of 2-D DCT, combined with quantization and zig-zag arrangement, is implemented in this project. DCT calculation used in this project is made using scaled DCT. The output of DCT module needs to be multiplied with post-scaler value to get the real DCT coefficients. Post-scaling process is done together with quantization process. 2-D DCT is computed by combining two 1-D DCT that connected by a transpose buffer. In this project the Modelsim is used for simulation.

Keywords: Model Sim, DCT, Verilog