NDLI: Example-Based Color Stylization of Images

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ACM Transactions on Applied Perception (TAP) : Volume 14

ACM Transactions on Applied Perception (TAP) : Volume 13

ACM Transactions on Applied Perception (TAP) : Volume 12

ACM Transactions on Applied Perception (TAP) : Volume 11

ACM Transactions on Applied Perception (TAP) : Volume 10

ACM Transactions on Applied Perception (TAP) : Volume 9

ACM Transactions on Applied Perception (TAP) : Volume 8

ACM Transactions on Applied Perception (TAP) : Volume 7

ACM Transactions on Applied Perception (TAP) : Volume 6

ACM Transactions on Applied Perception (TAP) : Volume 5

ACM Transactions on Applied Perception (TAP) : Volume 4

ACM Transactions on Applied Perception (TAP) : Volume 3

ACM Transactions on Applied Perception (TAP) : Volume 2

Issue 4, October 2005

Issue 2, April 2005

Issue 1, January 2005

Issue 3, July 05

Guest Editorial

Visual cues can be sufficient for triggering automatic, reflexlike spatial updating

Distance perception in real and virtual environments

Distance Perception and the Visual Horizon in Head-Mounted Displays

Manipulating Video Sequences to Determine the Components of Conversational Facial Expressions

Toward Perceptually Realistic Talking Heads: Models, Methods, and McGurk

Predicting and Evaluating Saliency for Simplified Polygonal Models

Collisions and Attention

Example-Based Color Stylization of Images

Low-Level Image Cues in the Perception of Translucent Materials

ACM Transactions on Applied Perception (TAP) : Volume 1

Example-Based Color Stylization of Images

Content Provider	ACM Digital Library
Author	Chang, Youngha Nakajima, Masayuki Saito, Suguru Uchikawa, Keiji
Copyright Year	2005
Abstract	We describe a new computational approach to stylize the colors of an image by using a reference image. During processing, we take the characteristics of human color perception into account to generate more appealing results. Our system starts by classifying each pixel value into one of the basic color categories, derived from our psychophysical experiments. The basic color categories are perceptual categories that are universal to everyone, regardless of nationality or cultural background. These categories are used to provide restrictions on color transformations to avoid generating unnatural results. Our system then renders a new image by transferring colors from a reference image to the input image, based on these categorizations. To avoid artifacts due to the explicit clustering, our system defines fuzzy categorization when pseudocontours appear in the resulting image. We present a variety of results and show that our method performs a large, yet natural, color transformation without any sense of incongruity and that the resulting images automatically capture the characteristics of the colors used in the reference image.
Starting Page	322
Ending Page	345
Page Count	24
File Format	PDF
ISSN	15443558
e-ISSN	15443965
DOI	10.1145/1077399.1077408
Volume Number	2
Issue Number	3
Journal	ACM Transactions on Applied Perception (TAP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-07-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Basic color categories Color transfer Example-based
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Theoretical Computer Science Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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Example-Based Color Stylization of Images

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