Semantic segmentation is of great importance and a challenge in computer vision. One of its
main problems is how to efficiently obtain rich information (geometric structure) and identify …

This paper proposes a novel approach for lossless image compression. The proposed
coding approach employs a deep-learning-based method to compute the prediction for each …

Super-resolution reconstruction of light field images has recently become a central focus in
the fields of computational photography and computer vision. We present a systematic …

The paper proposes a novel block-wise prediction paradigm based on Convolutional Neural
Networks (CNNs) for lossless video coding. A deep neural network model which follows a …

Lifting-based wavelet transform has been extensively used for efficient compression of
various types of visual data. Generally, the performance of such coding schemes strongly …

In recent years, visual sensors have been quickly improving, notably targeting richer
acquisitions of the light present in a visual scene. In this context, the so-called lenslet light …

Lossless data reduction is essential for data transmission over the Internet and the storage
of data in a digital device when data loss is not permitted. The application of image …

This article presents a parameter combination-based method selection (PCBMS) approach
to select an optimal lossless data compression technique and provides an analysis based …

Recent advances in the computer technology has enabled many theoretical ideas in
computer vision to become practical also within camera technology. Light field technology …

This paper proposes a novel approach for lossless coding of light field (LF) images based
on a macro-pixel (MP) synthesis technique which synthesizes the entire LF image in one …