Image Communication

Secret image sharing (SIS) is attracting increasing attention due to its wide application to the distributed storage of digital images in a cloud and the importance of digital images. Shadow authentication plays an important role in ...

• SIS with a separate shadow authentication ability is proposed.
• The secret image ...

Hand posture recognition (HPR), one of the most effective and intuitive human computer interfaces, has been extensively studied and widely adopted in various multimedia applications. Shape descriptors extracted from a hand contour or ...

• Angle, distance and curvature features are devised for each hand contour point.

In this paper, a non-blind multi-frame super-resolution (SR) model based on mixed Poisson–Gaussian noise (MPGSR) is proposed. Poisson noise arises from the stochastic nature of the photon-counting process. Readout noise and reset noise ...

• Multi-frame super-resolution reconstruction based on mixed Poisson–Gaussian noise.

The state of the art deep learning based denoising methods can achieve great denoising results. However, due to the lack of clean training data, the ground truth and noise level are unknown, traditional denoising methods are difficult ...

• Building a novel NSCT based CNN model to improve the image denoising performance with better compromise between performance and computation time cost.

We develop a full-reference (FR) video quality assessment framework that integrates analysis of space–time slices (STSs) with frame-based image quality measurement (IQA) to form a high-performance video quality predictor. The approach ...

• A full-reference video quality assessment framework is proposed.
• The STS ...

An original wireless video transmission scheme called SoftCast has been recently proposed to deal with the issues encountered in conventional wireless video broadcasting systems (e.g. cliff effect). In this paper, we evaluate and ...

Landmarks are prior image features for a variety of computer vision tasks. In the image processing domain, research on image segmentation methods has always been a significant topic. Due to the image characteristics of heterogeneous ...

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• The preferred image point landmarks were expressed as landmark data fidelity term with the framework of the level set method.

As one promising solution, zero-watermarking techniques have been proposed to enhance the image visual quality and applied to protect the intellectual property rights of the medical images, remote sensing images and military images. ...

In this paper, we address the image restoration case that includes both blurring and impulse noise. To recover an image with abundant features, we propose an L0 regularized cartoon-texture model for the simultaneous deblurring and ...

• We propose a novel L0 regularized image decomposition model based on coupled sparse representation for image restoration.

Kalman filter has been successfully applied to tracking moving objects in real-time situations. However, the filter cannot take into account the existing prior knowledge to improve its predictions. In the moving object tracking, the ...

In this paper, we present a pedestrian detection method by leveraging multispectral images which consist of color and thermal image information. Our method is based on the observation that a multispectral image enables us to overcome ...

• We designed a network that integrates two sub-networks to handle different scales of pedestrians.

Recently deep learning-based methods have been applied in image compression and achieved many promising results. In this paper, we propose an improved hybrid layered image compression framework by combining deep learning and the ...

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• An improved hybrid layered image compression framework by combining deep learning and the traditional image codecs.

The huge amount of data in surveillance video coding demands high compression rates with lower computational requirements for efficient storage and archival. The motion estimation is a very time-consuming process in the traditional ...

• A three-step framework for the background-foreground-boundary aware block matching algorithm for surveillance video coding.

Face images in real Closed-Circuit Television (CCTV) are usually with low resolution, which remarkably deteriorates the performance of existing face recognition algorithms and hinders the application of face recognition. The main ...

• We share the classifier of LR and HR network, which can be seen as center-based method, and enforce the losses between HR and LR intermediate layers to ...

Stereoscopic imaging is widely used in many fields. In many scenarios, stereo images quality could be affected by various degradations, such as asymmetric distortion. Accordingly, to guarantee the best quality of experience, robust and ...

In this paper, we present a comprehensive approach for investigating JPEG compressed test images, suspected of being tampered either by splicing or copy-move forgery (cmf). In JPEG compression, the image plane is divided into non-...

• This paper presents an integrated technique for detection and localization of splicing as well as copy-move forgery in JPEG compressed images.

This paper describes a network that captures multimodal correlations over arbitrary timestamps. The proposed scheme operates as a complementary, extended network over a multimodal convolutional neural network (CNN). Spatial and ...

• The proposed model captures spatiotemporal correlation without time correspondence.

Accurately recognizing human hand gestures is a useful component in many modern intelligent systems, such as identification authentication, human–computer interaction, and sign language recognition. Conventional approaches are ...

• A novel fully-automatic and quality-guided ranking algorithm is proposed.
• A ...