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:
Apr. 26, 2016

Filed:

May. 15, 2015
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Shouhong Ding, Shenzhen, CN;

Chuannan Wang, Shenzhen, CN;

Jia Wang, Shenzhen, CN;

Baolong Yang, Shenzhen, CN;

Zhifeng Xie, Shenzhen, CN;

Shang Wu, Shenzhen, CN;

Assignee:

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen, Guangdong Province, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/126 (2014.01); H04N 19/172 (2014.01); H04N 19/196 (2014.01); H04N 19/12 (2014.01); H04N 19/154 (2014.01); H04N 19/192 (2014.01);
U.S. Cl.
CPC ...
H04N 19/126 (2014.11); H04N 19/12 (2014.11); H04N 19/154 (2014.11); H04N 19/172 (2014.11); H04N 19/192 (2014.11); H04N 19/196 (2014.11); H04N 19/197 (2014.11);
Abstract

The present disclosure discloses method and apparatus for image compression. The method includes: acquiring a threshold of a similarity score of an image; acquiring a first quality factor of the image, a first similarity score corresponding to the first quality factor, a second quality factor of the image, and a second similarity score corresponding to the second quality factor; obtaining a functional relationship between quality factor and similarity score of the image by means of curve fitting using the first quality factor, the first similarity score, the second quality factor, and the second similarity score; determining an optimum quality factor of the image according to the functional relationship between the quality factor and the similarity score and the threshold of the similarity score; and compressing the image according to the determined optimum quality factor. With the present disclosure, iterations in image compression can be completed in a very short time.


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