Overview of Distributed Video Coding Techniques and Wavelet Transform Applications
This document outlines the essential concepts of Distributed Video Coding (DVC), focusing on DCT and DWT-based DSC methods. It details quantization processes using bit-plane level quantizers and discusses interpolation and extrapolation techniques applied to test image datasets. The analysis incorporates gray code representations and high-frequency motion estimation to enhance coding efficiency. Key evaluations include wavelet transformations with a 9/7 filter at varying levels and quantizations, highlighting practical solutions for video compression at specified bit rates.
Overview of Distributed Video Coding Techniques and Wavelet Transform Applications
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Presentation Transcript
Outline • DCT base DSC • DWT base DSC
Quantizer & Bit-plane level Quantizer Extract bit plane
Test Image 512*512 mobile0.raw 512*512 mobile1.raw
Wyner-Ziv Frame • Wavelet transform : 9/7 filter • Level : 2 • Quantization : 64 bins Key-Frame • Wavelet transform : 9/7 filter • Level : 5 • Bit-rate : 2 bpp
Wavelet Transform (2 level)LL band size = 128*128 • Quantizer (6 bits) 64 bins = 0~63 • Bit-planes number = 6 (length=16384)
Passable Solution • Gray Code • High frequency motion estimation