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Since capturing underwater images without degradation is challenging, there are few real image datasets with paired ground truth for underwater image enhancement. In this article, we propose a generative adversarial network (UIGAN) for underwater imaging; ...

Recent days have seen significant improvements in multi-modal learning made by Vision-Language Pre-training (VLP) models. However, most of them employ the coarse-grained global alignment to overcome semantic gap for generating common ...

Image-text matching, which aims at precisely measuring the visual-semantic similarities between images and texts, is a fundamental research topic in multimedia analysis domain. Current methods have obtained an impressive performance by taking ...

Underwater image restoration is one of the significant research in marine engineering and aquatic robotics. However, due to the propagation characteristics of light and the serious turbidity in underwater, the captured images often have ...

Accurate segmentation is the basis of object detection, computer vision and other fields. However, the complexity of images, together with the existence of noise and other image artifacts, makes image segmentation still a bottleneck. In this paper,...

Image segmentation is the basis of image analysis, object tracking, and other fields. However, image segmentation is still a bottleneck due to the complexity of images. In recent years, fuzzy clustering is one of the most important selections for ...

UAV (Unmanned Aerial Vehicle) monitoring mounted with high resolution camera is a rising way to monitor the ocean environment, and it can make up the shortages of low spatial and temporal resolutions of SAR images. How to get the ...

Fuzzy C-means has been adopted for image segmentation, but it is sensitive to noise and other image artifacts due to not considering neighbor information. In order to solve this problem, many improved algorithms have been proposed, such as fuzzy local ...

Histogram modification (HM) is an efficient algorithm for reversible data hiding into H.264 video, motion vector based methods have been applied to HM. In this paper, we present a special strategy of reversible data hiding using motion vector based on ...

Permutation polynomials have important applications in cryptography, coding theory, combinatorial designs, and other areas of mathematics and engineering. Finding new classes of permutation polynomials is therefore an interesting subject of study. In ...

In this paper, a novel and efficient framework by exploiting Quaternionic Distance Based Weber Local Descriptor (QDWLD) and object cues is proposed for image saliency detection. In contrast to the existing saliency detection models, the advantage of the ...

Images captured by UAVs above the sea surface often contain lots of highlight regions due to the specular reflection of solar radiation on the non-flat sea surface. The existence of a great deal of specular highlight components may cover the objects ...

Three-dimensional reconstruction from a single input image is a very difficult issue, especially for the texture images. Moreover, the unknown lighting parameters also make this problem more complex. In this paper, an improved genetic algorithm has been ...

Fuzzy C-means(FCM) has been adopted to perform image segmentation due to its simplicity and efficiency. Nevertheless it is sensitive to noise and other image artifacts because of not considering spatial information. Up to now, a series of improved FCM ...

Photometric stereo (PMS) can reconstruct shape and albedo of an object by using multiple images captured under varied illumination directions. However, PMS may fail if light intensity is varied across different images captured under different unknown ...

In a verifiable computation VC scheme, a client asks a server to perform some outsourced computations, and the latter returns the results as its response. The results can be verified privately or publicly. Fiore and Gennaro CCS 2012 constructed publicly ...

This paper proposes a fast algorithm for three-dimensional face reconstruction using uncalibrated Photometric Stereo. With a reference face model, lighting parameters are estimated from input face images lighted by unknown illumination, which can be ...

This paper is concerned with a logistic equation with spatio-temporal delay. The local asymptotic behavior of positive constant steady-state solution of the equation is considered. In particular, by using the iterative technique, sufficient conditions ...

The field of neural networks can be thought of as being related to artificial intelligence, machine learning, parallel processing, statistics, and other fields. The attraction of neural networks is that they are best suited to solving the problems that ...