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Journal articles on the topic 'Blur sensitivity'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 April 2022

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1

ROSENFIELD, MARK, and JYOTHIS A. ABRAHAM-COHEN. "Blur Sensitivity in Myopes." Optometry and Vision Science 76, no. 5 (1999): 303–7. http://dx.doi.org/10.1097/00006324-199905000-00018.

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2

Wang, Bin, Kenneth J. Ciuffreda, and Balamurali Vasudevan. "Effect of blur adaptation on blur sensitivity in myopes." Vision Research 46, no. 21 (2006): 3634–41. http://dx.doi.org/10.1016/j.visres.2006.03.015.

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3

Marmor, Michael F., and Atul Gawande. "Effect of Visual Blur on Contrast Sensitivity." Ophthalmology 95, no. 1 (1988): 139–43. http://dx.doi.org/10.1016/s0161-6420(88)33218-5.

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4

Cufflin, Matthew P., Alex Mankowska, and Edward A. H. Mallen. "Effect of Blur Adaptation on Blur Sensitivity and Discrimination in Emmetropes and Myopes." Investigative Opthalmology & Visual Science 48, no. 6 (2007): 2932. http://dx.doi.org/10.1167/iovs.06-0836.

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5

Venkataraman, Abinaya Priya, Simon Winter, Peter Unsbo, and Linda Lundström. "Blur adaptation: Contrast sensitivity changes and stimulus extent." Vision Research 110 (May 2015): 100–106. http://dx.doi.org/10.1016/j.visres.2015.03.009.

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6

Xiang, Shou Bing, Jin Ping He, and Guang Da Su. "Validity of Definition Assessments for Motion Blur Identification." Key Engineering Materials 474-476 (April 2011): 1578–82. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1578.

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In this paper, based on the series of test images which are synthesized through the linear motion blur model with continue variable parameters, we define the sensitivity of image definition assessments. Experimental data are presented that the validity of definition assessments for motion blur identification closely relates to the sensitivity of definition assessments. The higher the sensitivity is, the better the validity of definition assessments for identification performs.

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Labhishetty, Vivek, Arijit Chakraborty, and William R. Bobier. "Is blur sensitivity altered in children with progressive myopia?" Vision Research 154 (January 2019): 142–53. http://dx.doi.org/10.1016/j.visres.2018.11.002.

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8

Rajeev, Narayanan, and Andrew Metha. "Enhanced Contrast Sensitivity Confirms Active Compensation in Blur Adaptation." Investigative Opthalmology & Visual Science 51, no. 2 (2010): 1242. http://dx.doi.org/10.1167/iovs.09-3965.

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Haun, A. M., and E. Peli. "Blur sensitivity is best when adapted to normal imagery." Journal of Vision 10, no. 15 (2010): 18. http://dx.doi.org/10.1167/10.15.18.

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Oka, Koichi, Yoshi Enami, Jongseo Lee, and Teajong Jun. "3.3: Edge Blur Width Analysis Using a Contrast Sensitivity Function." SID Symposium Digest of Technical Papers 37, no. 1 (2006): 10. http://dx.doi.org/10.1889/1.2433166.

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THORN, FRANK. "Effects of Dioptric Blur on the Vistech Contrast Sensitivity Test." Optometry and Vision Science 67, no. 1 (1990): 8–12. http://dx.doi.org/10.1097/00006324-199001000-00003.

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12

Schmidt, P. "Sensitivity to optical blur of vision-screening procedures for children." Ophthalmic and Physiological Optics 9, no. 4 (1989): 473. http://dx.doi.org/10.1016/0275-5408(89)90322-0.

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13

SCHMIDT, PAULETTE P. "Sensitivity of Random Dot Stereoacuity and Snellen Acuity to Optical Blur." Optometry and Vision Science 71, no. 7 (1994): 466–73. http://dx.doi.org/10.1097/00006324-199407000-00007.

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14

Kim, Chang-Jin, and Eun Jung Choi. "Effects of Induced Dioptric Blur on Visual Acuity and Contrast Sensitivity." Journal of Korean Ophthalmic Optics Society 19, no. 2 (2014): 261–70. http://dx.doi.org/10.14479/jkoos.2014.19.2.261.

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15

Tang, Chang, Xinwang Liu, Xinzhong Zhu, et al. "R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12063–70. http://dx.doi.org/10.1609/aaai.v34i07.6884.

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Defocus blur detection aims to separate the in-focus and out-of-focus regions in an image. Although attracting more and more attention due to its remarkable potential applications, there are still several challenges for accurate defocus blur detection, such as the interference of background clutter, sensitivity to scales and missing boundary details of defocus blur regions. In order to address these issues, we propose a deep neural network which Recurrently Refines Multi-scale Residual Features (R2MRF) for defocus blur detection. We firstly extract multi-scale deep features by utilizing a full

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16

Blackie, Caroline, Wendy Ni, and Christine Wildsoet. "ANISOMYOPIA DOES NOT RESULT IN INTEROCULAR DIFFERENCES IN LENS-INDUCED BLUR SENSITIVITY." Optometry and Vision Science 79, Supplement (2002): 26. http://dx.doi.org/10.1097/00006324-200212001-00045.

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17

Tunnacliffe, A. "The influence of monocular defocus and diffusive blur on binocular contrast sensitivity." Ophthalmic and Physiological Optics 7, no. 4 (1987): 447. http://dx.doi.org/10.1016/0275-5408(87)90072-x.

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18

Yang, Seok-Jun, and Eun Jung Choi. "Effects of Transmittance of Diffusive Blur on Visual Acuity and Contrast Sensitivity." Journal of Korean Ophthalmic Optics Society 20, no. 3 (2015): 355–62. http://dx.doi.org/10.14479/jkoos.2015.20.3.355.

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19

Hairol, Mohd ‘Izzuddin, Loshane Arusulem, and Wong Jia Ying. "Effects of Monocular Blur on Clinical Measurements of Stereopsis and Binocular Contrast Sensitivity." Jurnal Sains Kesihatan Malaysia 15, no. 1 (2017): 19–26. http://dx.doi.org/10.17576/jskm-2017-1501-03.

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Artes, Paul H., Marcelo T. Nicolela, Terry A. McCormick, Raymond P. LeBlanc, and Balwantray C. Chauhan. "Effects of Blur and Repeated Testing on Sensitivity Estimates with Frequency Doubling Perimetry." Investigative Opthalmology & Visual Science 44, no. 2 (2003): 646. http://dx.doi.org/10.1167/iovs.02-0532.

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21

Jeong, Hyung Ryul, Su A. Jung, Jeong Lim Lee, and Hyun Jung Kim. "The Effect of Astigmatic Blur on Contrast Sensitivity among Groups of Natural Astigmatism Power." Journal of Korean Ophthalmic Optics Society 26, no. 1 (2021): 53–64. http://dx.doi.org/10.14479/jkoos.2021.26.1.53.

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22

Balas, Benjamin, Jacob Gable, and Hannah Pearson. "The Effects of Blur and Inversion on the Recognition of Ambient Face Images." Perception 48, no. 1 (2018): 58–71. http://dx.doi.org/10.1177/0301006618812581.

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When viewing unfamiliar faces that vary in expressions, angles, and image quality, observers make many recognition errors. Specifically, in unconstrained identity-sorting tasks, observers struggle to cope with variation across different images of the same person while succeeding at telling different people apart. The use of ambient face images in this simple card-sorting task reveals the magnitude of these face recognition errors and suggests a useful platform to reexamine the nature of face processing using naturalistic stimuli. In the present study, we chose to investigate the impact of two

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23

Zhan, Shuyue, Weiwen Zhou, Xu Ma, and Hui Huang. "Hyperspectral Imaging Bioinspired by Chromatic Blur Vision in Color Blind Animals." Photonics 6, no. 3 (2019): 91. http://dx.doi.org/10.3390/photonics6030091.

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Hyperspectral imaging remote sensing is mutually restricted in terms of spatial and spectral resolutions, signal-to-noise ratio and exposure time. To deal with this trade-off properly, it is beneficial for imaging systems to have high light flux. In this paper, we put forward a novel hyperspectral imaging method with high light flux bioinspired by chromatic blur vision in color blind animals. We designed a camera lens with high degree of longitudinal chromatic aberration, a monochrome image sensor captured the chromatic blur images at different focal lengths. Finally, by using the known point

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24

Field, David J., and Nuala Brady. "Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes." Vision Research 37, no. 23 (1997): 3367–83. http://dx.doi.org/10.1016/s0042-6989(97)00181-8.

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25

Jobling, Jeremy T., J. Stephen Mansfield, Gordon E. Legge, and Mark R. Menge. "Motion Parallax: Effects of Blur, Contrast, and Field Size in Normal and Low Vision." Perception 26, no. 12 (1997): 1529–38. http://dx.doi.org/10.1068/p261529.

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Can people with different forms of low vision use motion parallax to improve depth judgments? We used a staircase method to compare depth thresholds using motion parallax and static viewing. We tested eighteen normal-vision subjects with a range of simulated deficits in acuity, contrast sensitivity, and simulated peripheral-field loss, and ten low-vision subjects with a wide range of acuity, contrast sensitivity, and field loss. Subjects viewed three vertical cylinders monocularly and indicated which one was at a different depth from the other two. For motion-parallax trials, observers moved t

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26

O'Carroll, David C., and Steven D. Wiederman. "Contrast sensitivity and the detection of moving patterns and features." Philosophical Transactions of the Royal Society B: Biological Sciences 369, no. 1636 (2014): 20130043. http://dx.doi.org/10.1098/rstb.2013.0043.

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Theories based on optimal sampling by the retina have been widely applied to visual ecology at the level of the optics of the eye, supported by visual behaviour. This leads to speculation about the additional processing that must lie in between—in the brain itself. But fewer studies have adopted a quantitative approach to evaluating the detectability of specific features in these neural pathways. We briefly review this approach with a focus on contrast sensitivity of two parallel pathways for motion processing in insects, one used for analysis of wide-field optic flow, the other for detection

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27

Mutlukan, Erkan. "The effect of refractive blur on the detection sensitivity to light offsets in the central visual field." Acta Ophthalmologica 72, no. 2 (2009): 189–94. http://dx.doi.org/10.1111/j.1755-3768.1994.tb05015.x.

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28

Simpson, Trefford, and Dip Optom. "MONOCULAR FOVEAL AND EXTRA FOVEAL CONTRAST SENSITIVITY IS DIFFERENTIALLY AFFECTED BY THE SUPPRESSION OF UNI-OCULAR BLUR." Optometry and Vision Science 71, Supplement (1994): 147. http://dx.doi.org/10.1097/00006324-199412001-00289.

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29

Garambois, S., C. Voisin, M. A. Romero Guzman, D. Brito, B. Guillier, and A. Réfloch. "Analysis of ballistic waves in seismic noise monitoring of water table variations in a water field site: added value from numerical modelling to data understanding." Geophysical Journal International 219, no. 3 (2019): 1636–47. http://dx.doi.org/10.1093/gji/ggz391.

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SUMMARY Passive seismic interferometry allows to track continuously the weak seismic velocity changes in any medium by correlating the ambient seismic noise between two points to reconstruct the Green’s function. The ballistic surface waves of the reconstructed Green’s functions are used to monitor the changes of water table induced by a controlled experiment in the Crépieux-Charmy (France) exploitation field. Viscoelastic numerical modelling of the monitoring experiment reproduces quite satisfactorily the sensitivity of the surface waves to the water table previously observed with seismic noi

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30

SEYER, JAN-OLOF. "Resolution and Sensitivity in the Eye of the Winkle Littorina Littorea." Journal of Experimental Biology 170, no. 1 (1992): 57–69. http://dx.doi.org/10.1242/jeb.170.1.57.

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The winkle Littorina littorea (L.) has camera-type (simple) eyes. Light and electron microscopy were used to generate an accurate geometrical model of the eye, and this was used to predict the eye's visual performance. The lens is spherical with a diameter of 112 μm, and examination of images formed by isolated lenses indicates a mean focal length in water of 126 μm. These images are crisp and apparently aberration-free. This, in addition to a shorter than expected focal length, implicates the presence of a gradient of refractive index in the lens. The lens has a focal length to lens-radius ra

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31

Xie, Xiaoxiao, Zhen Li, Lu Bai, et al. "Deep Learning-Based MRI in Diagnosis of Fracture of Tibial Plateau Combined with Meniscus Injury." Scientific Programming 2021 (December 20, 2021): 1–8. http://dx.doi.org/10.1155/2021/9935910.

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This study aimed to explore the application value of magnetic resonance imaging (MRI) images based on deep learning algorithms in the diagnosis of tibial plateau fractures combined with meniscus injuries. The original MRI image was input into the deep learning convolutional neural network (CNN), and the knee joint undersampled and fully sampled MRI image data were used for training to obtain a neural network model that can effectively remove the noise and blur of the undersampled image. Then, the image was reconstructed by the Regridding model to obtain an image with less noise and clearer str

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32

Khalil, Mohammed S., Fajri Kurniawan, Muhammad Khurram Khan, and Yasser M. Alginahi. "Two-Layer Fragile Watermarking Method Secured with Chaotic Map for Authentication of Digital Holy Quran." Scientific World Journal 2014 (2014): 1–29. http://dx.doi.org/10.1155/2014/803983.

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This paper presents a novel watermarking method to facilitate the authentication and detection of the image forgery on the Quran images. Two layers of embedding scheme on wavelet and spatial domain are introduced to enhance the sensitivity of fragile watermarking and defend the attacks. Discrete wavelet transforms are applied to decompose the host image into wavelet prior to embedding the watermark in the wavelet domain. The watermarked wavelet coefficient is inverted back to spatial domain then the least significant bits is utilized to hide another watermark. A chaotic map is utilized to blur

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33

O’Connor, James, Mike J. Smith, and Mike R. James. "Cameras and settings for aerial surveys in the geosciences." Progress in Physical Geography: Earth and Environment 41, no. 3 (2017): 325–44. http://dx.doi.org/10.1177/0309133317703092.

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Aerial image capture has become very common within the geosciences due to the increasing affordability of low-payload (<20 kg) unmanned aerial vehicles (UAVs) for consumer markets. Their application to surveying has subsequently led to many studies being undertaken using UAV imagery and derived products as primary data sources. However, image quality and the principles of image capture are seldom given rigorous discussion. In this contribution we firstly revisit the underpinning concepts behind image capture, from which the requirements for acquiring sharp, well-exposed and suitable image d

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34

Smith, Wayne S. "Contrast Constancy Revisited: The Perceived Contrast of Sinusoidal Gratings above Threshold." Quarterly Journal of Experimental Psychology 68, no. 2 (2015): 363–80. http://dx.doi.org/10.1080/17470218.2014.944919.

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The contrast sensitivity function of the human visual system, measured with sinusoidal luminance gratings, has an inverted U shape with a peak around 2–4 c/deg. Above threshold, it is thought that luminance gratings of equal physical contrasts but of distinguishably different spatial frequencies are all perceived as having similar contrasts, a phenomenon that has been termed contrast constancy. However, when suprathreshold contrast matches were measured for pairs of luminance gratings whose spatial frequencies were indistinguishable, the matching curves were not flat and followed a similar inv

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Pasynkov, D. V., I. V. Kliouchkine, and O. V. Busygina. "Method to increase sensitivity and specificity of computer-aided detection system for mammographic images in dense breast parenchyma." Kazan medical journal 97, no. 3 (2016): 443–49. http://dx.doi.org/10.17750/kmj2016-443.

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Aim. To search ways to increase the diagnostic value of computer-aided detection of pathological lesions for mammography based on the principle of comparing the images of contralateral breasts.Methods. Analysis of the diagnostic value of computer-aided detection of pathological lesions for mammography MammCheck 1.15 of our own design, which included asymmetric regions and the brightness transformation search algorithms, was performed. To test this system standard digital mammograms in craniocaudal and mediolateral oblique views of 117 patients with morphologically verified breast cancer (visua

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36

Zhao, C., Mao Li Fu, and J. T. Cheng. "Fitting Ellipse Based on the Dual Conic Model." Advanced Materials Research 670 (March 2013): 80–84. http://dx.doi.org/10.4028/www.scientific.net/amr.670.80.

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This paper presents an operator that fitting the parameters of ellipses features, and improves the computational efficiency. Based on the dual conic model, this operator directly uses the raw gradient information in the neighborhood of an ellipse’s boundary, which use tangent lines and to apply the estimation in the dual space, so that avoiding the step of precisely extracting individual edge points. Moreover, under the dual representation, the dual conic can easily be constrained to a dual ellipse when minimizing the algebraic distance. The operator presents low sensitivity to noise and is co

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37

Hériché, Jean-Karim, Stephanie Alexander, and Jan Ellenberg. "Integrating Imaging and Omics: Computational Methods and Challenges." Annual Review of Biomedical Data Science 2, no. 1 (2019): 175–97. http://dx.doi.org/10.1146/annurev-biodatasci-080917-013328.

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Fluorescence microscopy imaging has long been complementary to DNA sequencing- and mass spectrometry–based omics in biomedical research, but these approaches are now converging. On the one hand, omics methods are moving from in vitro methods that average across large cell populations to in situ molecular characterization tools with single-cell sensitivity. On the other hand, fluorescence microscopy imaging has moved from a morphological description of tissues and cells to quantitative molecular profiling with single-molecule resolution. Recent technological developments underpinned by computat

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38

MAHENDRAN, G., and R. DHANASEKARAN. "DETECTION AND LOCALIZATION OF RETINAL EXUDATES FOR DIABETIC RETINOPATHY." Journal of Biological Systems 23, no. 02 (2015): 195–212. http://dx.doi.org/10.1142/s0218339015500102.

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Diabetic retinopathy (DR) is a complication of diabetes caused by changes in the blood vessels of the retina. Initially, the DR causes trivial changes in the retinal capillary. The symptoms can blur or distort patients' vision, which are the main causes of blindness. The DR is characterized by the presence of exudates at the nonproliferative stage. Once damaged by DR, the effects will be permanent and hence an earlier treatment is considered as vital. The presence of exudates is detected by ophthalmologists from the dilated retinal images, which are captured by dropping chemical solution into

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39

Hubl, Daniela, Nicolas Moor, Jochen Kindler, Mara Kottlow, Thomas Dierks, and Thomas Koenig. "Speed, Accuracy, and Efficiency of Judgements of Coincidence between Speech Acts and Auditory Perception during a Delayed Auditory Feedback Paradigm: A Behavioral Study in Patients with Schizophrenia." Timing & Time Perception 8, no. 2 (2020): 177–91. http://dx.doi.org/10.1163/22134468-20191163.

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The inability to differentiate between one’s actions and their consequences from sensory inputs originating from an alien source might cause classical first-rank symptoms in schizophrenia, such as audio-verbal hallucinations (AVH). We aimed to determine whether patients with or without AVH perform differently in a task challenging the audio-verbal self-monitoring system compared to controls. Controls (n = 21) and schizophrenia patients with (AH, n = 11) and without AVH (NH, n = 9) participated. Subjects had to discern whether they heard a sound they had just uttered with or without delay. Reac

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40

Ajakwe, Simeon Okechukwu, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, and Jae Min Lee. "DRONET: Multi-Tasking Framework for Real-Time Industrial Facility Aerial Surveillance and Safety." Drones 6, no. 2 (2022): 46. http://dx.doi.org/10.3390/drones6020046.

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The security of key and critical infrastructures is crucial for uninterrupted industrial process flow needed in strategic management as these facilities are major targets of invaders. The emergence of non-military use of drones especially for logistics comes with the challenge of redefining the anti-drone approach in determining a drone’s harmful status in the airspace based on certain metrics before countering it. In this work, a vision-based multi-tasking anti-drone framework is proposed to detect drones, identifies the airborne objects, determines its harmful status through perceived threat

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41

Kamil, Mohammed Y. "Computer aided diagnosis for breast cancer based on the gabor filter technique." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 5235. http://dx.doi.org/10.11591/ijece.v10i5.pp5235-5242.

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The most prominent reason for the death of women all over the world is breast cancer. Early detection of cancer helps to lower the death rate. Mammography scans determine breast tumors in the first stage. As the mammograms have slight contrast, thus, it is a blur to the radiologist to recognize micro growths. A computer-aided diagnostic system is a powerful tool for understanding mammograms. Also, the specialist helps determine the presence of the breast lesion and distinguish between the normal area and the mass. In this paper, the Gabor filter is presented as a key step in building a diagnos

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42

Arnold, Derek H., Jeremy D. Williams, Natasha E. Phipps, and Melvyn A. Goodale. "Sharpening vision by adapting to flicker." Proceedings of the National Academy of Sciences 113, no. 44 (2016): 12556–61. http://dx.doi.org/10.1073/pnas.1609330113.

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Human vision is surprisingly malleable. A static stimulus can seem to move after prolonged exposure to movement (the motion aftereffect), and exposure to tilted lines can make vertical lines seem oppositely tilted (the tilt aftereffect). The paradigm used to induce such distortions (adaptation) can provide powerful insights into the computations underlying human visual experience. Previously spatial form and stimulus dynamics were thought to be encoded independently, but here we show that adaptation to stimulus dynamics can sharpen form perception. We find that fast flicker adaptation (FFAd) s

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43

Shoba, S. J. Grace. "Computer Aided Design Diagnosis for Glaucoma Detection in Retinal Images by Spatial Fuzzy C Means with Level Set Segmentation." Journal of Computational and Theoretical Nanoscience 17, no. 12 (2020): 5590–97. http://dx.doi.org/10.1166/jctn.2020.9457.

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By the CAD diagnosis using various clinical parameters such as plate-ratio (commander) optical cup are determined to diagnose glaucoma. Hough converter and circular return view disk fundus image is taken. Level compilation methods and integrated space-based blur package are proposed to analyze the optical cup area from the viewing disk. The experiments were performed using the MATLAB software HRF database using the proposed approach to fundus imaging from images in the hospital. The Linear regression fit is intent to discover the Gold standard assessment for the evaluating attained CDR based o

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44

Bae, Kyungsoo, Kyung Nyeo Jeon, Moon Jung Hwang, Yunsub Jung, and Joonsung Lee. "Application of Highly Flexible Adaptive Image Receive Coil for Lung MR Imaging Using Zero TE Sequence: Comparison with Conventional Anterior Array Coil." Diagnostics 12, no. 1 (2022): 148. http://dx.doi.org/10.3390/diagnostics12010148.

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(1) Background: Highly flexible adaptive image receive (AIR) coil has become available for clinical use. The present study aimed to evaluate the performance of AIR anterior array coil in lung MR imaging using a zero echo time (ZTE) sequence compared with conventional anterior array (CAA) coil. (2) Methods: Sixty-six patients who underwent lung MR imaging using both AIR coil (ZTE-AIR) and CAA coil (ZTE-CAA) were enrolled. Image quality of ZTE-AIR and ZTE-CAA was quantified by calculating blur metric value, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of lung parenchyma. Image

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45

Zhou, Shi Wei, and Qing Li. "The Design of Functional Gradient Materials with Inverse Homogenization Method." Advanced Materials Research 32 (February 2008): 245–50. http://dx.doi.org/10.4028/www.scientific.net/amr.32.245.

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This study systemically presents an inverse homogenization method in the design of functional gradient materials, which gained substantial attention recently due to their layer-by-layer defined physical properties. Each layer of these materials is unilaterally constructed by periodically extended microstructural elements (namely base cells), whose effective properties can be decided by the homogenization theory in accordance with the material distribution within the base cell. The design objective is to minimize the summation of the least squares of the difference between corresponded entries

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46

Kobayashi, Wataru, Hiroshi Kunikata, Kazuko Omodaka, et al. "Correlation of Optic Nerve Microcirculation with Papillomacular Bundle Structure in Treatment Naive Normal Tension Glaucoma." Journal of Ophthalmology 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/468908.

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Purpose.To assess the association between optic nerve head (ONH) microcirculation, central papillomacular bundle (CPB) structure, and visual function in eyes with treatment naive normal tension glaucoma (NTG).Methods. This study included 40 eyes of 40 patients with NTG and 20 eyes of 20 normal patients. We used laser speckle flowgraphy (LSFG) to measure mean blur rate (MBR) in all eyes and calculated the ratio of MBR in the horizontal quadrants of tissue area ONH (temporal/nasal ratio of MBR in the tissue area: T/N MT). Clinical findings also included retinal nerve fiber layer thickness (RNFLT

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47

Nazir, Hira, Imran Sarwar Bajwa, Muhammad Samiullah, Waheed Anwar, and Muhammad Moosa. "Robust Secure Color Image Watermarking Using 4D Hyperchaotic System, DWT, HbD, and SVD Based on Improved FOA Algorithm." Security and Communication Networks 2021 (February 28, 2021): 1–17. http://dx.doi.org/10.1155/2021/6617944.

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In the recent past, a different set of algorithms for watermarking and securing the color images have been developed by using transformation, decomposition, and optimization techniques for watermark embedding and extraction. In this paper, we propose an optimized and robust watermarking algorithm coupled with a 4D hyperchaotic system, and its performance is analyzed by extending and differentiating the existing work. Our contribution in the presented work is watermarking and securing the color images by an optimized algorithm that uses transformation technique such as Discrete Wavelet Transfor

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48

Mohsenzadegan, Kabeh, Vahid Tavakkoli, and Kyandoghere Kyamakya. "A Deep-Learning Based Visual Sensing Concept for a Robust Classification of Document Images under Real-World Hard Conditions." Sensors 21, no. 20 (2021): 6763. http://dx.doi.org/10.3390/s21206763.

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This paper’s core objective is to develop and validate a new neurocomputing model to classify document images in particularly demanding hard conditions such as image distortions, image size variance and scale, a huge number of classes, etc. Document classification is a special machine vision task in which document images are categorized according to their likelihood. Document classification is by itself an important topic for the digital office and it has several usages. Additionally, different methods for solving this problem have been presented in various studies; their respectively reached

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DANIELS, LORI B., DAVID F. NICHOLS, MATHEW S. SEIFERT, and HOWARD S. HOCK. "Changes in pupil diameter entrained by cortically initiated changes in attention." Visual Neuroscience 29, no. 2 (2012): 131–42. http://dx.doi.org/10.1017/s0952523812000077.

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AbstractThe diameter of the pupil is affected by changes in ambient illumination, color, spatial structure, movement, and mental effort. It has now been found that pupil diameter can be affected by cognitive processes. That is, it can be entrained by alternations between broadly spread and narrowly focused attention that are cued exogenously (attention is “summoned” by the cue) or endogenously (attention changes under the perceiver’s intentional control). Pupil diameter also is affected by post-eye-blink constrictions that occur most often when attention is narrowed, and possibly by changes ev

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Jindal, Akshay, Krzysztof Wolski, Karol Myszkowski, and Rafał K. Mantiuk. "Perceptual model for adaptive local shading and refresh rate." ACM Transactions on Graphics 40, no. 6 (2021): 1–18. http://dx.doi.org/10.1145/3478513.3480514.

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When the rendering budget is limited by power or time, it is necessary to find the combination of rendering parameters, such as resolution and refresh rate, that could deliver the best quality. Variable-rate shading (VRS), introduced in the last generations of GPUs, enables fine control of the rendering quality, in which each 16×16 image tile can be rendered with a different ratio of shader executions. We take advantage of this capability and propose a new method for adaptive control of local shading and refresh rate. The method analyzes texture content, on-screen velocities, luminance, and ef

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