Please note that the content of this book primarily consists of articles
available from Wikipedia or other free sources online. Trellis
quantization is an algorithm that can improve data compression in
DCT-based encoding methods. It is used to optimize residual DCT
coefficients after motion estimation in lossy video compression encoders
such as Xvid and x264. Trellis quantization reduces the size of some DCT
coefficients while recovering others to take their place. This process
can increase quality because coefficients chosen by Trellis have the
lowest rate-distortion ratio. Trellis quantization effectively finds the
optimal quantization for each block to maximize the PSNR relative to
bitrate. It has varying effectiveness depending on the input data and
compression method.
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