Go TANAKA
E-mail：tanakago@nsc.nagoya-cu.ac.jp
TEL：+81-52-872-5191
TEL：+81-52-872-5191
| Division | Mathematical and Material Science, Associate Professor |
|---|---|
| Academic Degree | Ph.D. (Science) |
Contents of page
Research Field
Image Processing, Color Conversion for Color Barrier-Free
Keywords
Digital Image, Color Vision, Color-to-Monochrome Conversion, Noise Removal, Contrast Enhancement
Current Research Topics
- Color Conversion for Color Barrier-Free:
There are some color combinations which are difficult to distinguish for some people, that is, dichromats. We develop a color conversion technique for dichromats. The method changes colors on computer monitor so that dichromats can distinguish colors in an input image. - High-Quality Color-to-Monochrome Conversion Considering Differences between Colors:
In usual color-to-monochrome conversion, only lightness component is used for gray-level (monochrome image) composition. However, objects which have same lightness and different hue/chroma are converted to identical gray-level in this conversion, and these cannot be distinguished in an output monochrome image. Then we develop a new color-to-monochrome conversion which reflects color information in an input image to output gray-levels. - Other Image Processing:
We also cope with other image processing. For example, noise removal and contrast enhancement.
Selected Publications
Color removal method of considering distance in color space, Optical Review, vol.21, no.2, pp.127-134 (2014).
Color removal considering differences of colors and achromatic color preservation, IEICE Transaction on Fundamentals of Electronics, Communications and Computer Sciences, vol.E96-A, no.11, pp.2315-2317 (2013).
Properties and effective extensions of local similarity-based pixel value restoration for impulse noise removal, IEICE Transaction on Fundamentals of Electronics, Communications and Computer Sciences, vol.E95-A, no.11, pp.2023-2031 (2012).
Yellow-blue component modification of color image protanopia or deuteranopia, IEICE Transaction on Fundamentals of Electronics, Communications and Computer Sciences, vol.E94-A, no.2, pp.884-888 (2011).
Simple multiscale image enhancement for natural images,Optical Review, vol.17, no.3, pp.130-138 (2010).
Lightness modification of color image for protanopia and deuteranopia, Optical Review, vol.17, no.1, pp.14-23 (2010).
Derivation of the analytical solution of Color2Gray algorithm and its application to fast color removal based on color quantization, Optical Review, vol.16, no.6, pp.601-612 (2009).
Minimum spanning tree-based random-valued noise detection for switching median filter, Optics Letters, vol.33, no.17, pp.1993-1995 (2008).
Color removal considering differences of colors and achromatic color preservation, IEICE Transaction on Fundamentals of Electronics, Communications and Computer Sciences, vol.E96-A, no.11, pp.2315-2317 (2013).
Properties and effective extensions of local similarity-based pixel value restoration for impulse noise removal, IEICE Transaction on Fundamentals of Electronics, Communications and Computer Sciences, vol.E95-A, no.11, pp.2023-2031 (2012).
Yellow-blue component modification of color image protanopia or deuteranopia, IEICE Transaction on Fundamentals of Electronics, Communications and Computer Sciences, vol.E94-A, no.2, pp.884-888 (2011).
Simple multiscale image enhancement for natural images,Optical Review, vol.17, no.3, pp.130-138 (2010).
Lightness modification of color image for protanopia and deuteranopia, Optical Review, vol.17, no.1, pp.14-23 (2010).
Derivation of the analytical solution of Color2Gray algorithm and its application to fast color removal based on color quantization, Optical Review, vol.16, no.6, pp.601-612 (2009).
Minimum spanning tree-based random-valued noise detection for switching median filter, Optics Letters, vol.33, no.17, pp.1993-1995 (2008).
