Autogressive pixel prediction in the neighborhood of image borders

US9872032B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Peter Amon · Birkenfeld, DE
• Andreas Hutter · Munich, DE
• André Kaup · Hohenkirchen, DE
• Johannes Rehm · Berching, DE
• Andreas Weinlich · Munich, DE

Key dates

• Filing date: Dec 19, 2013
• Grant date: Jan 16, 2018
• Expiry date: Jul 30, 2034

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04N19/91
• WIPO field: Audio-visual technology
• WIPO sector: Electrical engineering

Abstract

For each array of pixels, an autoregressive pixel-prediction method is performed based on a weighted sum of reconstructed pixel values of reconstructed pixels in a specific neighborhood region adjacent to the current pixel to be coded. For determining the weights, the pixel values in a specific training region adjacent to the current pixel are taken into account. The coding method is characterized by an appropriate determination of the specific neighborhood region and the specific training region in case that reconstructed pixel values do not exist for all pixels in the neighborhood region and the training region. In such a case, the number of pixels in the neighborhood region is reduced to a number of reconstructed pixels until the ratio between the number of pixels in the training region and the number of pixels in the neighborhood region exceeds a predetermined threshold.