The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 14, 2022
Filed:
Mar. 20, 2020
Fraunhofer-gesellschaft Zur Förderung Der Angewandten Forschung E.v., Munich, DE;
Christian Helmrich, Berlin, DE;
Thomas Wiegand, Berlin, DE;
Adam Wieckowski, Berlin, DE;
Heiko Schwarz, Berlin, DE;
Detlev Marpe, Berlin, DE;
Sebastian Bosse, Berlin, DE;
Benjamin Bross, Berlin, DE;
Abstract
Coding quantization parameter variation or adaptation is made more effective by basing the determination of a coding quantization parameter for a predetermined block of the picture on a dispersion of a statistical sample value distribution of a high-pass filtered version of the predetermined block. The usage of the high-pass filtered version of the predetermined block as a basis for the determination of the dispersion instead of using, for instance, the un-filtered or original version of the predetermined block assists in a better adaptation of the resulting coding quantization parameter variation across the picture to the human visual system. Alternatively or additionally, coding quantization parameter variation or adaptation across a picture is made more efficient by a control of coding quantization parameter variation/adaptation across a picture in a manner dependent on a prediction of the actual dispersion. In order to improve the coding efficiency in encoding a picture into a data stream, a comparison between a first coding quantization parameter assigned to a predetermined block of the picture and a threshold which depends on a mean difference of sample values of the predetermined block to sample values' mean value may be performed.