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:
Jul. 09, 2013
Filed:
Nov. 29, 2010
Fumitaka Goto, Tokyo, JP;
Akitoshi Yamada, Yokohama, JP;
Mitsuhiro Ono, Tokyo, JP;
Rie Kajihara, Minoh, JP;
Okinori Tsuchiya, Yokohama, JP;
Ayumi Sano, Kawasaki, JP;
Tomokazu Ishikawa, Kawasaki, JP;
Takashi Fujita, Kawasaki, JP;
Fumihiro Goto, Kawasaki, JP;
Shigeyasu Nagoshi, Yokohama, JP;
Akihiko Nakatani, Kawasaki, JP;
Fumitaka Goto, Tokyo, JP;
Akitoshi Yamada, Yokohama, JP;
Mitsuhiro Ono, Tokyo, JP;
Rie Kajihara, Minoh, JP;
Okinori Tsuchiya, Yokohama, JP;
Ayumi Sano, Kawasaki, JP;
Tomokazu Ishikawa, Kawasaki, JP;
Takashi Fujita, Kawasaki, JP;
Fumihiro Goto, Kawasaki, JP;
Shigeyasu Nagoshi, Yokohama, JP;
Akihiko Nakatani, Kawasaki, JP;
Canon Kabushiki Kaisha, Tokyo, JP;
Abstract
In image processing it is possible to adequately reduce density unevenness and graininess according to the duty of the image data. More specifically, when dividing multi-valued data and generating 2-pass multi-pass printing data, in addition to the divided multi-valued data for each of the two passes, divided multi-valued data that is common to both of the two passes is also generated. Moreover, the quantized data of that common multi-valued data is reflected on the quantized data of each pass. Furthermore, when generating quantized data, the division ratio when generating common data in the division of multi-valued data is set according to the duty (gradation value) of the multi-valued data. By doing so it becomes possible to adequately reduce the density unevenness and graininess according to the duty of the image data.