The deep learning-based in-loop filtering methods have greatly improved the coding
efficiency for High Efficiency Video Coding (HEVC). However, directly applying these HEVC …

Stereo matching is one of the most important topics in computer vision and aims at
generating precise depth maps for various applications. The major challenge of stereo …

The depth video contains large smooth contents with sharp edges. Since the deep learning-
based color video orientated intra prediction methods pay no attention to the characteristics …

Invertible color-to-grayscale conversion is a research issue in grayscale image colorization,
which is a complex problem resulting from information loss. This paper presents an …

The present disclosure relates to an image processing apparatus and an image processing
method capable of storing auxiliary information in CbCr components in a YCbCr format. The …

Convolutional neural networks with encoder and decoder structures, generally referred to as
autoencoders, are used in many pixelwise transformation, detection, segmentation, and …

With the advancement of 3D display technology, the original 3D stereo-view systems
requiring 3D glasses have evolved to multiple-view naked-eyes 3D displays. For 2D …

Latest image analysis deep learning algorithms use diverse methods to extract features from
images based on the Convolution Neural Network (CNN). CNN has a convolution layer …