Regional hierarchical predictive coding method for quantized block compressed sensing

• Main Authors: WEI GUOLIN, HU MIN, LIU MINGRUI, HUANG ZHEN, LIU HAO, LIAO RONGSHENG, YUAN WENYE
• Format: Patent
• Language: Chinese; English
• Published: 03.08.2021
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; PICTORIAL COMMUNICATION, e.g. TELEVISION

In predictive coding of quantized block compressed sensing, a large number of low-efficiency candidates can result in higher complexity. In order to reduce coding distortion of quantized block compressed sensing, the invention provides a predictive coding method based on a context sensing candidate set and regional hierarchical correlation. After all blocks are observed at the same sampling rate, each block is predicted and quantized according to a scanning sequence from inside to outside, and a current observation vector selects an inverse quantization vector having a minimum mean square error with the current observation vector from a context sensing candidate set as a prediction vector of the current observation vector; and all the blocks are divided into one of three regions according to hierarchical correlation, differentiated quality factors are set for different regions through a block coding model, and a key region is endowed with a quality factor larger than that of a non-key region. Compared with th