KEYWORDS: Color difference, Virtual colonoscopy, Printing, Data modeling, CRTs, Digital cameras, Image compression, Silicon, Visualization, Systems modeling
As many color devices, such as color displays, color printers, digital cameras, are commonly used, it is well known that colors displayed on two color devices are different from each other. This difference in color necessitates the use of color matching techniques, especially gamut compression, to compress the colors displayed on the device having the larger gamut onto a device having a smaller color gamut. In this paper we introduce a modified method of gamut compression using correlate with modified perceptible difference. Previously we introduced a color difference in HVC color space and also sensitivity coefficients to improve the subjective quality of the gamut compression that is to compress out of gamut color to inside gamut color. That was to have determined the sensitivity coefficients for Hue, Value and Chroma in HVC color space based on the subjective evaluations between different color devices. Then we applied the sensitivity coefficients to gamut compression. Carrying out subjective experiment, the result showed that this method was more effective than conventional method. Then, we also leaded the correlate to cross term Hue, Value and Chroma. We analyzed with variance to know the relation between cross term each attribute. We modified the color difference and applied it to gamut compression.
KEYWORDS: LCDs, Color reproduction, Data conversion, Projection systems, Image processing, 3D image processing, Standards development, Color difference, RGB color model, Colorimetry
The international standard sRGB has been established as the default RGB color space for multimedia, in which 'reference image display system characteristics' are specified. That is, a display device is required to have characteristics close to these characteristics in order to properly display color image data that is in conformity with sRGB. For this reason, the sRGB specification for front projectors has been defined. Our newly developed projectors achieve less than one tenth of the color difference for the sRGB specification. Today as more and more people use the Internet as a source of information and computer-aided visual presentations have become a key tool, accurate and reliable color reproduction is essential for everyone. With sRGB compliant projectors we can reproduce identical colors, ensuring that images shown on other sRGB compliant devices such as CRT display monitors remain the same.
KEYWORDS: Color reproduction, RGB color model, Data conversion, Color difference, LCDs, Zirconium, Image processing, 3D image processing, Liquid crystals, Ytterbium
The authors have developed a new color conversion system that can contribute to the improvement of imperfect color reproduction in various types of displays, especially those of non-CRT displays such as TFT-LCD monitors. This paper describes the new color conversion system and touches on modeling of the TFT-LCD monitors. The new system is a system that uses a new matrix calculation that we have developed. Owing to its ease in hardware application, this color conversion system allows support of motion picture display and real time processing. In addition, it enables realization of desired color conversion characteristics and it also facilitates realization of use to two and more types of color conversion characteristics by selection. The authors have also developed color conversion simulation software based upon high-accurate modeling of the TFT-LCD monitors which can be applied to a practical TFT-LCD monitor to set the parameters of new color conversion system to an optimal condition.
KEYWORDS: Color difference, CRTs, Color reproduction, Printing, Transform theory, Image compression, Human vision and color perception, Diffusion, Information technology, Scanners
It is well known that colors indicated on two color devices are different from each other. Gamut compression technique has been required to compress colors displayed onto a monitor with the large gamut to colors displayed on another monitor with the smaller gamut. Although minimizing color different method is commonly used, this method transforms a color ut of smaller gamut to a target color which is on the surface of the smaller gamut. In this method, a target color is set to the intersection of the compression vector toward certain point of L*50 in CIELAB color space and the surface of the gamut. The print is used uniformly for all hue. Therefore we investigated a gamut compression method modified Centroid vector method to adapt the target point of compression vectors for basic 6 hue categories based on subjective experiment using two CRT monitors. We carried out subjective experiments and determined the compression vectors. We compressed the color out of gamut with weights for interpolation calculated in each 6 hue categories. We applied this method to natural images and chart. The result showed this method was effective.
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