Fast classification and segmentation of high resolution color images of multiple and complicated objects

2006 ◽  
Author(s):  
Weixing Wang
Keyword(s):  
High Resolution ◽  
Color Images ◽  
Fast Classification

A fast segmentation method for high-resolution color images of foreign fibers in cotton

2011 ◽  
Vol 78 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Xin Zhang ◽  
Daoliang Li ◽  
Wenzhu Yang ◽  
Jinxing Wang ◽  
Shuangxi Liu
Keyword(s):  
High Resolution ◽  
Color Images ◽  
Segmentation Method

A dense transparent ink-jet receptive film that provides instantaneous print drying

1999 ◽  
Vol 14 (6) ◽  
pp. 2594-2601 ◽  
Author(s):  
Bulent E. Yoldas
Keyword(s):  
High Resolution ◽  
Color Images ◽  
Image Resolution ◽  
Organic Polymers ◽  
Image Transfer ◽  
Chemical Immobilization ◽  
Photographic Paper ◽  
Ink Jet ◽  
The Matrix ◽  
Jet Printing

Ink-jet printing is an important image transfer technology. In this technology, the electronic capabilities are often constrained by shortcomings of materials functions. One of the constraints for fast reproduction of high-resolution photographic quality color images is the print dry time. This presents a challenge in the film technology where large quantities of solvent must be rapidly removed without transporting colorants outside the targeted areas. In this work, this is achieved by chemical immobilization of water by organic polymers incorporated into the film matrix. In this dense film, immobilization of large volumes of water becomes possible by a transient local swelling of the matrix—as much as 600–700%. This mechanism of water immobilization not only creates a virtually dry state instantaneously, but also leads to a tighter containment of colorants within the targeted areas, resulting in a significant improvement in edge acuity and image resolution. In addition, the film is printer and ink nonspecific and produces a high gloss on photographic paper.

Algorithm of Micro-Grooving and Imaging Processing for the Generation of High-Resolution Structural Color Images

2020 ◽  
Vol 3 (3) ◽  
pp. 187-198 ◽  
Author(s):  
Tianfeng Zhou ◽  
Yupeng He ◽  
Tianxing Wang ◽  
Xiaobin Dong ◽  
Peng Liu ◽  
...  
Keyword(s):  
High Resolution ◽  
Color Images ◽  
Structural Color ◽  
Imaging Processing ◽  
Micro Grooving

High-Resolution Histogram Modification of Color Images

1995 ◽  
Vol 57 (5) ◽  
pp. 432-440 ◽  
Author(s):  
Jeffrey J. Rodriguez ◽  
Christopher C. Yang
Keyword(s):  
High Resolution ◽  
Color Images ◽  
Histogram Modification

A Review of Super-Resolution Restoration from Image Sequences

2011 ◽  
Vol 204-210 ◽  
pp. 1336-1341
Author(s):  
Zhi Gang Xu ◽  
Xiu Qin Su
Keyword(s):  
High Resolution ◽  
State Of The Art ◽  
Super Resolution ◽  
Image Sequences ◽  
The State ◽  
Color Images ◽  
Low Resolution ◽  
Future Directions ◽  
High Resolution Images ◽  
Multidisciplinary Studies

Super-resolution (SR) restoration produces one or a set of high resolution images from low-resolution observations. In particular, SR restoration involves many multidisciplinary studies. A review on recent SR restoration approaches was given in this paper. First, we introduced the characteristics and framework of SR restoration. The state of the art in SR restoration was surveyed by taxonomy. Then we summarized and analyzed the existing algorithms of registration and reconstruction. A comparison of performing differences between these methods would only be valid given. After that we discussed the SR problems of color images and compressed videos. At last, we concluded with some thoughts about future directions.

scholarly journals Polarization-encrypted high-resolution full-color images exploiting hydrogenated amorphous silicon nanogratings

Nanophotonics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 875-884 ◽  
Author(s):  
Wenjing Yue ◽  
Song Gao ◽  
Yang Li ◽  
Chunwei Zhang ◽  
Xiaoqian Fu ◽  
...  
Keyword(s):  
High Resolution ◽  
Amorphous Silicon ◽  
Polarization State ◽  
Hydrogenated Amorphous Silicon ◽  
Color Images ◽  
Color Variation ◽  
Leaky Mode ◽  
Full Color ◽  
Hydrogenated Amorphous ◽  
Incident Polarization

AbstractAs a prominent alternative to toxic dyes/pigments, nanostructural color pixels have garnered tremendous attention in applications related to display/imaging devices and color printings. However, current color pixels mostly offer static color responses. In relation to this, dynamic color tuning properties must be investigated in order to expand their functionalities and promote their use in the fields of encryption and anti-counterfeiting. In this study, a simple array of hydrogenated amorphous silicon nanogratings is proposed to realize polarization-encrypted full-color images via the coupling of incident light into different leaky mode resonances within the nanogratings. The proposed pixels can readily switch from vivid full colors to indistinguishable orange color by altering the incident polarization state. Hence, unlike the reported polarization-tuned color generation schemes that merely allow for the color variation of the image or require complicated designs to hide the color information, the proposed approach can encrypt arbitrary full-color images via a simple tuning of the incident polarization state. Owing to the localized leaky mode resonances supported by the nanogratings, the pixel can still implement the polarization-encrypted functionality even when it contains only four gratings, thus enabling a remarkably high resolution. The proposed simple scheme may provide a credible new pathway for accelerating the practical applications of high-resolution encryption and anti-counterfeiting.

High Resolution Reversible Color Images on Photonic Crystal Substrates

Langmuir ◽  
2011 ◽  
Vol 27 (16) ◽  
pp. 9676-9680 ◽  
Author(s):  
Pilgyu Kang ◽  
Samuel O. Ogunbo ◽  
David Erickson
Keyword(s):  
Photonic Crystal ◽  
High Resolution ◽  
Color Images

Recovery of earth surface spectra using high-resolution color images

2013 ◽  
Vol 80 (1) ◽  
pp. 66-74
Author(s):  
B. I. Belyaev ◽  
L. V. Katkovsky ◽  
A. V. Rogovets
Keyword(s):  
High Resolution ◽  
Color Images ◽  
Earth Surface
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