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:
Oct. 06, 2020

Filed:

Aug. 22, 2017
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Lars M. Lindberg, Bjaerred, SE;

Ali Sazegari, Cupertino, CA (US);

Paul S. Chang, San Jose, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/66 (2014.01); H04N 19/593 (2014.01); H04N 19/48 (2014.01); H04N 19/59 (2014.01); H04N 19/436 (2014.01);
U.S. Cl.
CPC ...
H04N 19/66 (2014.11); H04N 19/436 (2014.11); H04N 19/48 (2014.11); H04N 19/59 (2014.11); H04N 19/593 (2014.11);
Abstract

Disclosed herein are techniques for performing lossless compression of single-channel images (e.g., grayscale images). A first technique involves pre-processing an isolated (i.e., one) single-channel image for compression. In particular, the first technique involves calculating predicted pixel intensity values (within the single-channel image) based on neighboring pixel intensity values (also within the single-channel image). Bit values of the error margins of the predicted pixel intensity values are separated into two different byte streams according to a particular ordering, whereupon the byte streams are separately compressed (e.g., using a Lempel-Ziv-Welch (LZW)-based compressor) and joined together to produce a compressed single-channel image. A second technique involves pre-processing a group of single-channel images into one single-channel image for compression. In particular, the second technique involves interleaving pixel intensity values of the single-channel images to produce an interleaved single-channel image, and subsequently compressing the interleaved single-channel image (e.g., using an LZW-based compressor).


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