With the constantly growing popularity of video-based services and applications, no-
reference video quality assessment (NR-VQA) has become a very hot research topic. Over …

Different imaging mechanisms exist for infrared and visible light images with a strong
complementarity between information. However, existing infrared and visible light image …

Image hashing is an effective technology for extensive image applications, such as retrieval,
authentication and copy detection. This paper designs a new image hashing scheme based …

The accurate separation of targets and background is challenging in hyperspectral target
detection algorithms, due to the high variability and complex non-linear scattering …

The convolutional neural networks (CNNs) have shown high success in supervised analysis
of hyperspectral images. But, the use of a supervised CNN is not possible for an …

Fabric defect detection is a very crucial and challenging problem. A novel saliency-based
fabric defect detection via bag-of-words model framework is suggested to solve this problem …

Simple Summary Insect pests cause major nutritional and economic losses in stored grains
through their pestilential activities, such as feeding, excretion, and reproduction. Therefore …

In the non-deep learning-based salient object detection methods known so far, the detection
effect and robustness based on the background detection method are good. However …

The field of computer vision has witnessed significant interest in the area of salient object
recognition. The utilization of this technology becomes advantageous in various …

A noval scheme is presented to identify image's saliency. The proposed scheme formalizes
the saliency map using color, depth along with input histogram. The color saliency map …