Study on Reproduction of Color Information of Digital Image Based on Different Color Gamut

2012 ◽  
Vol 430-432 ◽  
pp. 838-841
Author(s):  
Wen Ge Chen
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Color Space ◽  
Mapping Method ◽  
Color Information ◽  
Color Gamut ◽  
Gamut Mapping ◽  
Processing Software ◽  
Image Processing Software ◽  
Different Color

This paper is based on digital image color information reproduction error in a different color gamut,Through the different color gamut mapping method, image processing software Photoshop is used to make experiment and to obtain the corresponding image effect. Using digital presses to print out and use Spectrodensitometer measure the corresponding data.Using Excel software for data processing and analysis, digital image color information of loss situation is obtained in RGB and CMYK color space, It can provide certain basis for control of the color loss.

Application of Digital Image Processing Software in Ceramic Design

2014 ◽  
Vol 543-547 ◽  
pp. 2435-2439
Author(s):  
Wei Li ◽  
Xin Yu Zhang
Keyword(s):  
Image Processing ◽  
Digital Media ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing System ◽  
Digital Processing ◽  
Geometric Transformation ◽  
Processing Software ◽  
Image Processing Software ◽  
Ceramic Design

From rest to exercise and from two-dimensional to three-dimensional, digital image processing software can be multi-angle, multi-dimension, multi-direction infiltration for the various fields of design, which has wide applications in every corner of digital media. Firstly, the digital image processing software can analyze the common digital processing system model. On the basis of the principle of RGB color histogram, it also can analyze its application in the ceramic design. According to the set of image transformation principle, the analysis of the geometric transformation plays an important role in in ceramic set, to provide the theoretical basis for the digital image processing software to a certain extent.

scholarly journals Overlay Videos for Quick and Accurate Watermark Identification, Comparison, and Matching: Creating and Using Overlay Videos

2021 ◽  
Author(s):  
C. Richard Johnson Jr. ◽  
William Sethares ◽  
Margaret Holben Ellis
Keyword(s):  
Image Processing ◽  
Case Studies ◽  
Digital Image Processing ◽  
Digital Image ◽  
Art History ◽  
Image Manipulation ◽  
Historical Documents ◽  
Identification Procedure ◽  
Processing Software ◽  
Image Processing Software

Identifying, comparing, and matching watermarks in pre-machine-made papers has occupied scholars of prints and drawings for some time. One popular but arduous approach is to overlay, either manually or digitally, an image of the watermark in question with its presumed match from a known source. For example, a newly discovered watermark in a Rembrandt print might be compared to a similar one reproduced in Erik Hinterding’s Rembrandt as an Etcher (2006). Such an overlay can confirm the pair as identical, i.e., as moldmates, or reveal their differences. But creating an accurate overlay for two images with different scales, orientations, or resolutions using standard image-manipulation tools can be time consuming and, ultimately, unsuccessful. Part One of this article describes advances in the emerging field of computational art history, specifically the development of digital image processing software, that can be used to semi-automatically create a reliable animated overlay of two watermarks, regardless of their relative “comparability.” Watermarks found in the prints of Rembrandt van Rijn (1606–1669) are used in three case studies to demonstrate the efficacy of user-generated overlay videos. Part Two discusses how searching for identical watermarks, i.e., moldmates, can be enhanced through the application of a new suite of software programs that exploit the data calculated during the creation of user-generated animated overlays. This novel watermark identification procedure allows for rapid, confident watermark searches with minimal user effort, given the existence of a pre-marked library of watermarks. Using a pre-marked library of Foolscap with Five-Pointed Collar watermarks, four case studies present different categories of previously undocumented matches 1) among Rembrandt’s prints; 2) between prints by Rembrandt and another artist, in this case Jan Gillisz van Vliet (1600/10–1668); and 3) between selected Rembrandt prints and contemporaneous Dutch historical documents.

scholarly journals Improving Color Space Conversion for Camera-Captured Images via Wide-Gamut Metadata

2020 ◽  
Vol 2020 (28) ◽  
pp. 193-198
Author(s):  
Hoang Le ◽  
Mahmoud Afifi ◽  
Michael S. Brown
Keyword(s):  
Color Space ◽  
Mapping Function ◽  
Mapping Method ◽  
Color Spaces ◽  
Color Gamut ◽  
Color Mapping ◽  
Color Space Conversion ◽  
Different Color ◽  
Image Format ◽  
Image State

Color space conversion is the process of converting color values in an image from one color space to another. Color space conversion is challenging because different color spaces have different sized gamuts. For example, when converting an image encoded in a medium-sized color gamut (e.g., AdobeRGB or Display-P3) to a small color gamut (e.g., sRGB), color values may need to be compressed in a many-to-one manner (i.e., multiple colors in the source gamut will map to a single color in the target gamut). If we try to convert this sRGB-encoded image back to a wider gamut color encoding, it can be challenging to recover the original colors due to the color fidelity loss. We propose a method to address this problem by embedding wide-gamut metadata inside saved images captured by a camera. Our key insight is that in the camera hardware, a captured image is converted to an intermediate wide-gamut color space (i.e., ProPhoto) as part of the processing pipeline. This wide-gamut image representation is then saved to a display color space and saved in an image format such as JPEG or HEIC. Our method proposes to include a small sub-sampling of the color values from the ProPhoto image state in the camera to the final saved JPEG/HEIC image. We demonstrate that having this additional wide-gamut metadata available during color space conversion greatly assists in constructing a color mapping function to convert between color spaces. Our experiments show our metadata-assisted color mapping method provides a notable improvement (up to 60% in terms of E) over conventional color space methods using perceptual rendering intent. In addition, we show how to extend our approach to perform adaptive color space conversion based spatially over the image for additional improvements.

scholarly journals Topographic analysis of eyelid position using digital image processing software

2017 ◽  
Vol 95 (7) ◽  
pp. e625-e632 ◽  
Author(s):  
Yeoun Sook Chun ◽  
Hong Hyun Park ◽  
In Ki Park ◽  
Nam Ju Moon ◽  
Sang Joon Park ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Topographic Analysis ◽  
Processing Software ◽  
Image Processing Software

scholarly journals Stemming zone fragmentation analysis of optimized blasting with top-column air decks

2020 ◽  
Author(s):  
Eugie Kabwe ◽  
Webby Banda
Keyword(s):  
Image Processing ◽  
Size Distribution ◽  
Digital Image Processing ◽  
Digital Image ◽  
Fragment Size ◽  
Fragment Size Distribution ◽  
Powder Factor ◽  
Processing Software ◽  
Image Processing Software ◽  
Air Deck

Trial application of air decks on a production shot improved fragmentation (32% reduction in x50). Empirical fragmentation models and digital image processing software were used to estimate fragment size distribution of the blasted muck pile. The x20, x50, and x80 passing fractions, and top size were 42, 265, 683, and 1,455 mm, respectively. Air-deck application reduced explosives load in blast-holes, lowering total charging cost by US$20/hole (15% decrease) and the powder factor to an average of 0.86 kg/m3 (12% decrease). Blast results were 443,624 t of blasted material from the block (90% of total muck pile) was smaller than 900 mm.

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