Abstract Deep Neural Networks are vulnerable to adversarial samples, which can fool
classifiers by adding small perturbations onto the original image. Since the pioneering …

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 …

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 …

The paper introduces a novel macro-pixel prediction method based on Convolutional Neural
Networks (CNN) for lossless compression of light field images. In the proposed method …

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

Huffman encoding and arithmetic coding algorithms have shown great potential in the field
of image compression. These algorithms are the origin of current image compression …

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 …

Common representations of light fields use four-dimensional data structures, where a given
pixel is closely related not only to its spatial neighbours within the same view, but also to its …

To enrich the functionalities of traditional cameras, light field cameras record both the
intensity and direction of light rays, so that images can be rendered with user-defined …

We propose a codec for the lossless compression of plenoptic camera sensor images. The
proposed encoder starts by splitting the input lenslet image into rectangular patches, with …