Title :
Merged inverse quantization and IDCT for optimized decoder implementation
Author :
Jin Li ; Gabbouj, Moncef ; Takala, Jarmo ; Hexin Chen
Author_Institution :
Fac. of Comput. & Electr. Eng., Tampere Univ. of Technol., Tampere, Finland
Abstract :
This paper proposes an efficient technique to reduce the complexity of implementation for inverse discrete cosine transform (IDCT)-based video decoders. The proposed method merges the inverse quantization and IDCT into a single procedure, which is referred to as inverse quantized IDCT (IQIDCT), such that the decoded coefficients do not need to be inverse quantized prior to the inverse transform. Thus, the computations related to inverse quantization are omitted. Since the cosine transform basis can be constructed before decoding, the proposed IQIDCT effectively replaces the need for computing power with little additional memory. The performance of the proposed algorithm is evaluated by comparing it with the original XVID decoder which uses the traditional separate inverse quantization and IDCT method. Experiments show the efficiency of the proposed method in reducing the overall decoding complexity. Moreover, it does not result in any video quality degradation. The proposed method is particularly suitable for low-power processors in multimedia systems.
Keywords :
discrete cosine transforms; inverse transforms; multimedia systems; quantisation (signal); video codecs; video coding; IQIDCT; computing power; inverse discrete cosine transform-based video decoders; inverse quantized IDCT; low-power processors; merged inverse quantization; multimedia systems; optimized decoder implementation; overall decoding complexity reduction; video coding; Abstracts; Decoding; Encoding; Hardware; Quantization (signal); Real-time systems;
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7