State-of-the-art in 360 video/image processing: Perception, assessment and compression
Nowadays, 360° video/image has been increasingly popular and drawn great attention. The
spherical viewing range of 360° video/image accounts for huge data, which pose the …
spherical viewing range of 360° video/image accounts for huge data, which pose the …
SCGAN: Saliency map-guided colorization with generative adversarial network
Given a grayscale photograph, the colorization system estimates a visually plausible colorful
image. Conventional methods often use semantics to colorize grayscale images. However …
image. Conventional methods often use semantics to colorize grayscale images. However …
Saliency detection via multiple-morphological and superpixel based fast fuzzy C-mean clustering network
To model a human perception-based saliency detection algorithm in cluttered and noisy
background images is a challenging problem in computer vision. Recently, many saliency …
background images is a challenging problem in computer vision. Recently, many saliency …
Multi-resolution dynamic mode decomposition-based salient region detection in noisy images
Detection of salient region in an image is a crucial problem in many cognition and computer
vision applications like object detection, adaptive image compression, automatic image …
vision applications like object detection, adaptive image compression, automatic image …
Saliency bagging: a novel framework for robust salient object detection
Salient object detection is a challenging task, and several methods have been proposed for
the same in the literature. The problem lies in that most of the methods perform good on a …
the same in the literature. The problem lies in that most of the methods perform good on a …
Visual saliency via embedding hierarchical knowledge in a deep neural network
Deep neural networks (DNNs) have been extensively applied in image processing,
including visual saliency map prediction of images. A major difficulty in using a DNN for …
including visual saliency map prediction of images. A major difficulty in using a DNN for …
Exploiting color name space for salient object detection
J Lou, H Wang, L Chen, F Xu, Q Xia, W Zhu… - Multimedia Tools and …, 2020 - Springer
In this paper, we will investigate the contribution of color names for the task of salient object
detection. An input image is first converted to color name space, which is consisted of 11 …
detection. An input image is first converted to color name space, which is consisted of 11 …
VMD-DMD coupled data-driven approach for visual saliency in noisy images
Human visual system is endowed with an innate capability of distinguishing the salient
regions of an image. It do so even in the presence of noise and other natural disturbances …
regions of an image. It do so even in the presence of noise and other natural disturbances …
DeepCT: A novel deep complex-valued network with learnable transform for video saliency prediction
The past decade has witnessed the success of transformed domain methods for image
saliency prediction. However, it is intractable to develop a transformed domain method for …
saliency prediction. However, it is intractable to develop a transformed domain method for …
Analysis on saliency estimation methods in high-resolution optical remote sensing imagery for multi-scale ship detection
Z Li, Y You, F Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Ship detection is of considerable significance in both military and civilian application
domains. Deep Convolutional Neural Network (DCNN) with region proposal mechanism, eg …
domains. Deep Convolutional Neural Network (DCNN) with region proposal mechanism, eg …