Specimen preparation for high contrast image processing and fractal analysis of branching fungal colonies

1994 ◽  
Vol 8 (5) ◽  
pp. 313-318 ◽  
Author(s):  
Cameron L. Jones ◽  
Greg T. Lonergan ◽  
David E. Mainwaring
Keyword(s):  
Image Processing ◽  
Fractal Analysis ◽  
Specimen Preparation ◽  
High Contrast ◽  
Contrast Image

scholarly journals BACK TO BASICS: TOWARDS NOVEL COMPUTATION AND ARRANGEMENT OF SPATIAL SENSORY IN IMAGES

2016 ◽  
Vol 56 (5) ◽  
pp. 409-416 ◽  
Author(s):  
Wei Wen ◽  
Siamak Khatibi
Keyword(s):  
Image Processing ◽  
Sensor Array ◽  
Fill Factor ◽  
Spatial Arrangement ◽  
Optimal Sampling ◽  
High Contrast ◽  
Visual Spatial ◽  
Hexagonal Form ◽  
Sensor Resolution ◽  
Hexagonal Image Processing

The current camera has made a huge progress in the sensor resolution and the lowluminance performance. However, we are still far from having an optimal camera as powerful as our eye is. The study of the evolution process of our visual system indicates attention to two major issues: the form and the density of the sensor. High contrast and optimal sampling properties of our visual spatial arrangement are related directly to the densely hexagonal form. In this paper, we propose a novel software-based method to create images on a compact dense hexagonal grid, derived from a simulated square sensor array by a virtual increase of the fill factor and a half a pixel shifting. After that, the orbit functions are proposed for a hexagonal image processing. The results show it is possible to achieve an image processing in the orbit domain and the generated hexagonal images are superior, in detection of curvature edges, to the square images. We believe that the orbit domain image processing has a great potential to be the standard processing for hexagonal images.

scholarly journals A novel encryption scheme for high-contrast image data in the Fresnelet domain

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0194343 ◽  
Author(s):  
Nargis Bibi ◽  
Shabieh Farwa ◽  
Nazeer Muhammad ◽  
Adnan Jahngir ◽  
Muhammad Usman
Keyword(s):  
Image Data ◽  
Encryption Scheme ◽  
High Contrast ◽  
Contrast Image

How Good is Too Good? A Subjective Study on Over Enhancement of Images

2021 ◽  
Vol 2021 (29) ◽  
pp. 83-88
Author(s):  
Sahar Azimian ◽  
Farah Torkamani Azar ◽  
Seyed Ali Amirshahi
Keyword(s):  
Image Quality ◽  
High Contrast ◽  
Current Image ◽  
Low Contrast ◽  
Image Dataset ◽  
Long Time ◽  
Reference Images ◽  
Subjective Study ◽  
Contrast Image

For a long time different studies have focused on introducing new image enhancement techniques. While these techniques show a good performance and are able to increase the quality of images, little attention has been paid to how and when overenhancement occurs in the image. This could possibly be linked to the fact that current image quality metrics are not able to accurately evaluate the quality of enhanced images. In this study we introduce the Subjective Enhanced Image Dataset (SEID) in which 15 observers are asked to enhance the quality of 30 reference images which are shown to them once at a low and another time at a high contrast. Observers were instructed to enhance the quality of the images to the point that any more enhancement will result in a drop in the image quality. Results show that there is an agreement between observers on when over-enhancement occurs and this point is closely similar no matter if the high contrast or the low contrast image is enhanced.

scholarly journals Generation of High Contrast Image from X-ray Scene Images of Brain Blood Vessel of Rat

2005 ◽  
Vol 125 (7) ◽  
pp. 1109-1116
Author(s):  
Yasuyuki Kuze ◽  
Takeshi Kondoh ◽  
Fumihiko Saitoh
Keyword(s):  
Blood Vessel ◽  
High Contrast ◽  
X Ray ◽  
Contrast Image

A high contrast image display device using a PLZT ceramic

1977 ◽  
Vol 15 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Shigeru Jyomura ◽  
Iwao Matsuyama ◽  
Akio Kumada
Keyword(s):  
Image Display ◽  
Display Device ◽  
High Contrast ◽  
Plzt Ceramic ◽  
Contrast Image
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