INFLUENCE OF TARGET POSITION ON EYE MOVEMENT IN NAVIGATIONAL AND INFORMATIVE TASKS: REINTERPRETATION OF DATA by José Vasconcelos-Raposo

“…It is concluded that both the target’s position and the individual’s position determine eye movement factors during navigational and informative tasks, highlighting the importance of considering these variables in studies of visual perception and human-computer interaction. …”
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Single image defogging based on fusion strategy by OFan GU, Jin TANG, Zi-xing CAI

“…Besides, an index for defogging effect assessment is also proposed from the perspective of human visual perception, which provides a new so-lution to the problem of single image defogging and its effect assessment. …”
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Vision of objects happens faster and earlier for location than for identity by Christian H. Poth, Werner X. Schneider

“…Summary: Visual perception of objects requires the integration of separate independent stimulus features, such as object identity and location. …”
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MRI Texture Analysis in Multiple Sclerosis by Yunyan Zhang

“…Texture analysis evaluates interpixel relationships that generate characteristic organizational patterns in an image, many of which are beyond the ability of visual perception. Given its promise detecting subtle structural alterations texture analysis may be an attractive means to evaluate disease activity and evolution. …”
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Samorealizacja – potencjał dziecka w twórczości plastycznej. Propozycja programu kształcenia plastycznego w klasach początkowych by Urszula Szuścik

“…Based on research, including her own, the author presents a proposal for the development of a child’s creative potential in the field of art based on the education of his visual perception. …”
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Physical Simulation of Burning Process of Alternative Engine Fuels by M. S. Assad

“…This method as an efficient means for investigation of fast processes permits to obtain a visual, convenient visual perception insight about the development of the burning process and understand peculiarities of the development of flame in the closed vessels.The paper contains a description of an experimental stand and methodology for execution of an experiment on visualization of the flame development and measurement of main parameters of the burning process in a closed vessel that is in the simulating combustion chamber.According to the obtained photos an analysis of form, structure and dynamics of flame front development has been carried out; some peculiarities and differences of flames of various fuel-air mixtures have been established and the paper proves an occurrence of the secondary glow during burning in the closed vessel.Body of data obtained with the help of the visualization of burning process makes it possible to determine main parameters of the burning process. …”
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Figure-ground segmentation based on motion in the archerfish by Svetlana Volotsky, Ronen Segev

“…Abstract Figure-ground segmentation is a fundamental process in visual perception that involves separating visual stimuli into distinct meaningful objects and their surrounding context, thus allowing the brain to interpret and understand complex visual scenes. …”
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Individualized models of social judgments and context-dependent representations by Daniel N. Albohn, Stefan Uddenberg, Alexander Todorov

“…Across all studies, we highlight the theoretical implications and utility of developing idiosyncratic models of visual perception.…”
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Modulating Perception in Interior Architecture Through Décor: An Eye-Tracking Study of a Living Room Scene by Weronika Wlazły, Agata Bonenberg

“…The visual perception of interior architecture plays a crucial role in real estate marketing, influencing the decisions of buyers, interior architects, and real estate agents. …”
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Automatic Identification and Location of Tunnel Lining Cracks by Pengyu Wang, Shuhong Wang, Alipujiang Jierula

“…By image processing technology and intelligent algorithm, the computer has a hominine visual perception system which understands, analyzes, and determines input image information, thus recognizing and detecting specific objectives. …”
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Towards Quality Assessment for Arbitrary Translational 6DoF Video: Subjective Quality Database and Objective Assessment Metric by Chongchong Jin, Yeyao Chen

“…However, the increased freedom of movement introduces new distortions that significantly impact human visual perception quality. Therefore, it is crucial to explore quality assessment (QA) to validate its application feasibility. …”
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Scattering Improves Temporal Resolution of Vision: A Pilot Study on Brain Activity by Francisco J. Ávila

“…Findings indicate a significant enhancement in temporal resolution under scattering conditions, suggesting that scattering may modulate the temporal aspects of visual perception, potentially by altering neural activity at the temporal and frontal brain lobes. …”
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PERCEPTION AND RECOGNITION OF CONCEPTS OF SPEECH ACTS IN VOCAL COMMUNICATION by E. I. Grigoriev

“…The notion of the concept being the basis of the present research is a mental image of reality around us, which is stored in the human mind and arises at verbal or visual perception of the linguistic sign. Speech act should be seen as a concept of the speech actions / behavior in a particular situation. …”
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Deep learning-based prediction of multi-level just noticeable distortion by Haifeng XU, Hongkui WANG, Haibing YIN, Chuqiao CHEN

“…Visual just noticeable distortion (JND) directly reflects the sensitivity of the human visual system to visual signal noise, and is widely used in image and video processing.Aiming at the multilevel prediction problem of video JND threshold, it was transformed into the prediction problem of satisfied user ratio (SUR) curve, and a feature fusion-based SUR curve prediction model was proposed.The model was mainly divided into key frame extraction module, feature extraction and fusion module, and SUR score regression module.In the key frame extraction module, according to the visual perception mechanism, the spatial-temporal domain perception complexity was proposed and used as the video key frame judgment index.In the feature extraction and fusion module, a multi-scale dense residual network was proposed based on dense residual block (RDB) to realize image feature extraction and multi-scale fusion.The experimental results show that the proposed SUR curve prediction model is overall better than the existing models in terms of JND prediction accuracy and reduces the time cost by 8.1% on average in terms of operational efficiency.Meanwhile, the model can also be used to predict other layers of JND thresholds, which can be directly applied to video multilevel perceptual coding optimization.…”
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A Novel Computational Framework for Visual Snow Syndrome by Damiano Perri, Osvaldo Gervasi

“…One is based on Augmented and Virtual Reality to simulate the visual perception experienced by people affected by such syndrome in real time on the image sequence acquired by a smartphone’s camera. …”
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A Novel Psychovisual Threshold on Large DCT for Image Compression by Nur Azman Abu, Ferda Ernawan

“…The psychovisual threshold represents the sensitivity of the human visual perception at each frequency order to the image reconstruction. …”
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Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain by Xiankun Sun, Huijie Liu, Shiqian Wu, Zhijun Fang, Chengfan Li, Jingyuan Yin

“…The experimental results show that our approach outperforms the others in terms of visual perception and objective evaluation.…”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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Vision After Early-Onset Lesions of the Occipital Cortex: II. Physiological Studies by M. G. Knyazeva, P. Maeder, D. C. Kiper, T. Deonna, G. M. Innocenti

“…The functional recovery observed in MS roughly correlated with the functional maturation of interhemispheric connections and might reflect the role of corticocortical connectivity in visual perception. The functionality of interhemispheric connections was assessed by analyzing the changes in occipital inter-hemispheric coherence of EEG signals (ICoh) evoked by moving gratings. …”
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Clinicoradiological Correlation of Macropsia due to Acute Stroke: A Case Report and Review of the Literature by Mayra Johana Montalvo, Muhib Alam Khan

“…We describe a patient presenting in the emergency room (ER) with visual perception disturbances characterized by a distorted perception of the size of objects, compatible with left hemimacropsia. …”
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