Video coding technique with parametric modeling of noise
This work addresses video quality enhancement for encoding applications, but it is incremental as it builds on prior noise reduction techniques.
The paper tackles video encoding by modeling noise with a parametric representation of spectral envelope and spatial energy distribution, achieving a 1.8 MOS point improvement in subjective video quality compared to classical coding.
This paper presents a video encoding method in which noise is encoded using a novel parametric model representing spectral envelope and spatial distribution of energy. The proposed method has been experimentally assessed using video test sequences in a practical setup consisting of a simple, real-time noise reduction technique and High Efficiency Video Codec (HEVC). The attained results show that the use of the proposed parametric modeling of noise can improve the subjective quality of reconstructed video by approximately 1.8 Mean Opinion Scope (MOS) points (in 11-point scale) related to the classical video coding. Moreover, the present work confirms results attained in the previous works that the usage of even sole noise reduction prior to the encoding provides quality increase.