Title :
Core Transform Design in the High Efficiency Video Coding (HEVC) Standard
Author :
Budagavi, Madhukar ; Fuldseth, Arild ; Bjontegaard, Gisle ; Sze, Vivienne ; Sadafale, Mangesh
Author_Institution :
Texas Instrum., Inc., Dallas, TX, USA
Abstract :
This paper describes the core transforms specified for the high efficiency video coding (HEVC) standard. Core transform matrices of various sizes from 4 × 4 to 32 × 32 were designed as finite precision approximations to the discrete cosine transform (DCT). Also, 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 transform design has the following properties: 16 bit data representation before and after each transform stage (independent of the internal bit depth), 16 bit multipliers for all internal multiplications, no need for correction of different norms of basis vectors during quantization/de-quantization, all transform sizes above 4 × 4 can reuse arithmetic operations for smaller transform sizes, and implementations using either pure matrix multiplication or a combination of matrix multiplication and butterfly structures are possible. The transform design is friendly to parallel processing and can be efficiently implemented in software on SIMD processors and in hardware for high throughput processing.
Keywords :
approximation theory; data structures; discrete cosine transforms; hypercube networks; matrix multiplication; parallel processing; vectors; video coding; DCT; HEVC standard; SIMD processor; butterfly structure; core transform matrix design; data representation; discrete cosine transform; embedded structure; finite precision approximation; high efficiency video coding standard; internal multiplications; limited internal bit depth); matrix multiplication; parallel processing; quantization-dequantization; symmetry property preservation; vector; word length 16 bit; Discrete cosine transforms; Standards; Video coding; Discrete cosine transform; high efficiency video coding; transform design;
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
DOI :
10.1109/JSTSP.2013.2270429