CMY Color Space Research Articles

Synthesis and Electrophoretic Properties of Novel Nanoparticles for Colored Electronic Ink and e-Paper Applications.

A new approach based on non-pigmented, stable colored nanoparticles able to migrate upon application of an electrical field (10-60 V) has been developed for the improvement of the color brightness of e-displays. The scientific challenges comprised the development of efficient syntheses of tri- and bifunctional dendrimers including branching points for further extension and individual decoration with dye (yellow, magenta, cyan). The covalent attachment of these scaffolds to silica nanoparticles was performed via hydrosilylation and final in situ charging generated attractive silica shells for the substractive CMY color space model.

Secret Sharing Based Visual Cryptography Scheme Using CMY Color Space

In the era of internet, internet is widely used by the individual for the communication and the information give and take process. Protecting our data from the unconstitutional processes and keeping the secret information secure and in safe hands, every individual utilizes the cryptography such as symmetric or asymmetric. But, these cryptographic processes needs much more cost for the execution. For that reason, lots of secret sharing schemes were proposed. Secret image distribution is the fine talent and skill concern with the protection of important color images by dividing the secret in multiple copies. The basic fundamental behind the scheme is to change the color image into some multiple unreadable format type shares so that they can not reveal the information inside the image until it is again combines with some mathematical computation. A Secret Sharing Scheme can be estimated by it's the four conditions which are Security, Reconstruction Precision, Computation Complexity, Storage Requirement. In Most of the previous scheme there were issues related with security of image for the reconstruction means user can reveal secret from the hidden image, reconstructed of image quality i.e. contrast or accuracy; it means the reconstructed images were distress from the loss of info related to images and resultant image is different from the original image. Images also suffered from pixel expansion issues for which data loss was occurring. In the present work CMY color model will be implemented with ((n-1), n) secret sharing scheme based on visual cryptography for the color image and compared and proved to be better that the RGB color model which is free from the issue of security, pixel expansion and accuracy issue as well. As the printer use the Cyan, Magenta, Yellow and Black color for printing that's why CMY color model is implemented in this work to prove that CMY color space is better than RGB color space.

Tea Flushes Identification Based on Machine Vision for High-Quality Tea at Harvest

Tea flushes identification from their natural background is the first key step for the intelligent tea-picking robot. This paper focuses on the algorithms of identifying the tea flushes based on color image analysis. A tea flushes identification system was developed as a means of guidance for a robotic manipulator in the picking of high-quality tea. Firstly, several color indices, including y-c, y-m, (y-c)/(y+c) and (y-m)/(y+m) in CMY color space, S channel in HSI color space, and U channel in YUV color space, were studied and tested. These color indices enhanced and highlighted the tea flushes against their background. Afterwards, grey level image was transformed into binary image using Otsu method and then area filter was employed to eliminate small noise regions. The algorithm and identification system has been tested extensively and proven to be well adapted to the complexity of a natural environment. Experiments show that these indices were particularly effective for tea flushes identification and could be used for future tea-picking robot development.

The Color Recognition of Jet Fuel Silver Corrosion Images Based on Color Difference Formula

This article introduces the basic theoretical knowledge of the multi-color space and its color difference formula. By research and experiment, it validates that HSV and CIE L * a * b * color space and its corresponding color difference formula, which are used in the color recognition of jet fuel silver corrosion image, and their results are mostly in accordance with the recognition results by the naked eyes. And it also proves the feasibility of these two methods for the color recognition of jet fuel silver corrosion. Silver strip corrosion experiment must be tested as one of jet fuel corrosion detection items in jet fuel accepting, providing and storage process. The examination, whether jet fuel is qualified or not, is mainly due to silver corrosion’s color judgment. For computer visual system, the color is the character of object surface, and it is mankind recognition system to the object surface, light shine and visual condition’s comprehensive effect, and it has important function in the picture’s partition and identifying field. The color that is put up by visible light is continuous, and in order to measure and calculate conveniently, some scholars successively establish more than ten color spaces, which are mainly divided three types, by the HSV color space with RGB, HIS, and Munsell color spaces etc. According to particular application color space, YUV and YIQ and CMY color space are adopted by the television system, and CIE color space then includes CIE, XYZ, Lab and Luv etc. This article comparatively studies representative color space as well as RGB, HIS, CMY, YUV and CIE Lab color spaces, which are used for jet fuel silver strip corrosion image’s color recognition accuracy, and this article finally ensures a kind of color space and color difference formula which are applied to jet fuel silver strip corrosion image’s color recognition.

Members of CMY Color Space: Cyan and Magenta Colored Polymers Based on Oxadiazole Acceptor Unit

In this study, three novel oxadiazole-based polymers were synthesized and their electrochemical and optical properties were investigated. The polymers were found to have both p- and n-type doping properties accompanied by electrochromic response. Two polymer films exhibit cyan and magenta colors, which constitute two legs of CMY color spaces, in their neutral states and they are soluble in common-organic solvents. According to the color mixing theory, all colors in the visible spectrum including black color can be obtained by using these polymers with a yellow colored electrochromic polymer. Among these polymers, the polymer bearing propyledioxythiophene donor units has some superior properties like high stability (it retains 94% of its electroactivity after 2000 cycles), solubility, and high coloration efficiency (230 cm2/C), whereas as expected ethylenedioxythiophene containing one has the lowest band gap as 1.08 eV.

Optimization of Cartridge Life Using JND Sampling Without Compromising the Visual Quality of Printed Images

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.