This chapter provides an overview of the transform and quantization design in HEVC. HEVC specifies two-dimensional transforms of various sizes from 4{\thinspace}{\texttimes}{\thinspace}4 to 32{\thinspace}{\texttimes}{\thinspace}32 that are finite precision approximations to the discrete cosine transform (DCT). In addition, HEVC also specifies an alternate 4{\thinspace}{\texttimes}{\thinspace}4 integer transform based on the discrete sine transform (DST) for use with 4{\thinspace}{\texttimes}{\thinspace}4 luma Intra prediction residual blocks. During the transform design, special care was taken to allow implementation friendliness, including limited bit depth, preservation of symmetry properties, embedded structure and basis vectors having almost equal norm. The HEVC quantizer design is similar to that of H.264/AVC where a quantization parameter (QP) in the range of 0--51 (for 8-bit video sequences) is mapped to a quantizer step size that doubles each time the QP value increases by 6. A key difference, however, is that the transform basis norm correction factors incorporated into the descaling matrices of H.264/AVC are no longer needed in HEVC simplifying the quantizer design. A QP value can be transmitted (in the form of delta QP) for a quantization group as small as 8{\thinspace}{\texttimes}{\thinspace}8 samples for rate control and perceptual quantization purposes. The QP predictor used for calculating the delta QP uses a combination of left, above and previous QP values. HEVC also supports frequency-dependent quantization by using quantization matrices for all transform block sizes. This chapter also provides an overview of the three special coding modes in HEVC (I_PCM mode, lossless mode, and transform skip mode) that modify the transform and quantization process by either skipping the transform or by skipping both transform and quantization.
CITATION STYLE
Budagavi, M., Fuldseth, A., & Bjøntegaard, G. (2014). HEVC Transform and Quantization (pp. 141–169). https://doi.org/10.1007/978-3-319-06895-4_6
Mendeley helps you to discover research relevant for your work.