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.

Date of Patent:
Mar. 03, 2015

Filed:

Jan. 19, 2011
Applicant:

Henrique Sarmento Malvar, Sammamish, WA (US);

Inventor:

Henrique Sarmento Malvar, Sammamish, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/12 (2006.01); H04N 11/02 (2006.01); H04N 11/04 (2006.01); G06F 17/14 (2006.01); H04N 19/126 (2014.01); H04N 19/60 (2014.01); H04N 19/61 (2014.01);
U.S. Cl.
CPC ...
G06F 17/147 (2013.01); H04N 19/00096 (2013.01); H04N 19/00775 (2013.01); H04N 19/00781 (2013.01);
Abstract

An improved method and block transform for image or video encoding and decoding, wherein transformation and inverse transformation matrixes are defined such that computational complexity is significantly reduced when encoding and decoding. For example, in the two-dimensional inverse transformation of de-quantized transform coefficients into output pixel information during decoding, only four additions plus one shift operation are needed, per co-efficient transformation, all in sixteen-bit arithmetic. Transformations provide correct results because quantization during encoding and de-quantization (sixteen bit) during decoding, via the use of one of three tables selected based on each coefficient's position, have parameter values that already compensate for factors of other transformation multiplications, except for those of a power of two, (e.g., two or one-half), which are performed by a shift operation during the transformation and inverse transformation processes. Computational complexity is significantly reduced with respect to other known transforms without adversely impacting compression or quality.


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