Back to articles
Articles
Volume: 26 | Article ID: art00067_1
Image
Optimization of Cartridge Life Using JND Sampling Without Compromising the Visual Quality of Printed Images
  DOI :  10.2352/ISSN.2169-4451.2010.26.1.art00067_1  Published OnlineJanuary 2010
Abstract

This paper presents an innovative pre-dithering or prehalftoning approach of sampling CMY color space using nonlinear sampling of RGB space, under physiological limitations of human color vision. The certified sound color vision human eye color intensity thresholds have been computed in terms of Just Noticeable Differences (JNDs) in each basic color and then used for sampling the color images to be printed. From our findings of color image sampling work, we propose that the existing 22 level quantized ink injection system is inadequate to represent color images with minimum loss of visual information. So we propose an injection system with 24, 26 and 28 levels in Cyan, Magenta and Yellow respectively. The proposed system minimizes the utilization of color inks without affecting visual quality of printed color images on white background. The proposed scheme is effective for printing the dark colors, on the other hand it generates false contours while printing the light colors, as already discussed in published literature. Experimentation has been carried out to estimate the ‘Threshold of Lightness’ of colors in RGB space. Using the decided threshold of lightness, if the proposed scheme is applied only to dark colors, considerable saving of color ink can be achieved. This technique considerably reduces the consumption of expensive color inks for printing color images on white background and enhances the cartridge life, reducing the cost of inkjet printing.

Subject Areas :
Views 14
Downloads 0
 articleview.views 14
 articleview.downloads 0
  Cite this article 

Kishor M. Bhurchandi, Rajesh B. Raut, Vipul S. Lande, "Optimization of Cartridge Life Using JND Sampling Without Compromising the Visual Quality of Printed Imagesin Proc. IS&T Int'l Conf. on Digital Printing Technologies and Digital Fabrication (NIP26),  2010,  pp 247 - 250,  https://doi.org/10.2352/ISSN.2169-4451.2010.26.1.art00067_1

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2010
72010410
NIP & Digital Fabrication Conference
nip digi fabric conf
2169-4451
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA