Image Communication

SoftCast-based linear video delivery (LVD) schemes have been proposed as an alternative to traditional video transmission schemes in wireless error-prone environments. The end-to-end performance of SoftCast-based schemes have been ...

• Proposed theoretical models for SoftCast-based linear video delivery (LVD) schemes.

Crowd counting is a conspicuous task in computer vision owing to scale variations, perspective distortions, and complex backgrounds. Existing research usually adopts the dilated convolution network to enlarge the receptive fields to ...

• Crowd counting in image is easily affected by complex background.
• Context-...

There have been remarkable improvements in the salient object detection in the recent years. During the past few years, graph-based saliency detection algorithms have been proposed and made advances. Nevertheless, most of the state-of-...

• An adaptive graph is constructed with multiview connections.
• An efficient and ...

Depth maps contain 3D geometrical information of a scene which can be useful in many applications. In this work we address the task of inpainting a depth map afflicted by regions with missing data. Initially, we inpaint depth values ...

• Inpainting of depth maps by exploiting a non-local extension of Gauss-MRF prior.

Image cryptosystems aim to secure the transmission of images in the presence of adversaries in the network. For ensuring confidentiality, images are encrypted to form unintelligible cipher images, the algorithms of which are much ...

• A novel binary operator forms an Abelian Group with a set of elements.
• The ...

Video object segmentation, aiming to segment the foreground objects given the annotation of the first frame, has been attracting increasing attentions. Many state-of-the-art approaches have achieved great performance by relying on ...

• NPMCA-net strikes a good balance between accuracy and running speed.
• Our method ...

Image texture description and analysis technology are the basis of many practical applications in pattern recognition. This paper presents a novel and simple, yet powerful method, namely multiple channels local binary pattern (MCLBP), ...

• A multi-channels LBP encodes inner- and inter-channel features of color images.

Generating image is a hot research topic in the field of deep learning, and it is challenging for generating high quality image pairs. The image pair refers to the corresponding image tuples with the same high-level features and ...

• A novel model named CoAdVAE is proposed to generate high quality image pairs.
• A ...

Efficiently representing spatio-temporal features of dynamic textures (DTs) in videos has been restricted due to negative impacts of the well-known issues of environmental changes, illumination, and noise. In order to mitigate those, ...

• A novel DoDG kernel is introduced to deal with negative impacts on DT description.

Various improved methods based on the strategy of bag of words (BoW) are widely used to solve the problem of human action recognition. However, the spatial relationship between features is measured and utilized by these methods in a ...

• Construct the constraint factors of length and angle between the vectors.
• ...

Ridge regression is an important method in feature extraction and has been extended in many different versions. Robust discriminant regression aims to solve the Small Sample Size Problem (SSSP) in ridge regression form by designing a ...

Image fusion can integrate the complementary information of multiple images. However, when the images to be fused are damaged, the existing fusion methods cannot recover the lost information. Matrix completion, on the other hand, can ...

• We establish a unified framework for damaged image fusion and completion.
• We ...

Objects that occupy a small portion of an image or a frame contain fewer pixels and contains less information. This makes small object detection a challenging task in computer vision. In this paper, an improved Single Shot multi-box ...

• A new multi-scale information enhancement network for small object detection is proposed.

Underwater images often show severe quality degradation due to the light absorption and scattering effects in water medium. This paper introduces a scene depth regularized underwater image dehazing method to obtain high-quality ...

3D Image representation is an important topic in computer vision and pattern recognition. Recently, 3D image analysis by fractional-order orthogonal moments has provided a new research direction, which has prompted researchers to think ...

• Novel fractional-order Legendre orthogonal moment invariants (FrOLMIs) for 3D images analysis is derived.

In order to solve the problems of long time consuming and easy failure of the existing coarse registration algorithms based on global registration on two 3D point clouds with low overlap rate, we proposed a coarse registration ...

Compression and encryption are often performed together for image sharing and/or storage. The order in which the two operations are carried out affects the overall efficiency of digital image services. For example, the encrypted data ...