Detail publikace

Image Bit-Depth Expansion Method Based on Sparse Representations

ZÁVIŠKA, P.

Originální název

Image Bit-Depth Expansion Method Based on Sparse Representations

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, a method for restoration of low bit-depth images based on sparse representations is presented. Proposed method is independent on the transform used, however for the purposes of experiments, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are used. The experiments show that our method enhances the visual quality of low bit-depth images and performs better, in terms of PSNR, than basic bit-depth expansion methods.

Klíčová slova

Image processing, Bit-depth expansion, Quantization, False Contours, Sparse Representations, Douglas-Rachford Algorithm

Autoři

ZÁVIŠKA, P.

Vydáno

26. 4. 2018

Nakladatel

VUT v Brně

Místo

Brno

ISBN

978-80-214-5614-3

Kniha

Proceedings of the 24th Conference STUDENT EEICT 2018

Číslo edice

1

Strany od

393

Strany do

397

Strany počet

5

BibTex

@inproceedings{BUT146714,
  author="Pavel {Záviška}",
  title="Image Bit-Depth Expansion Method Based on Sparse Representations",
  booktitle="Proceedings of the 24th Conference STUDENT EEICT 2018",
  year="2018",
  number="1",
  pages="393--397",
  publisher="VUT v Brně",
  address="Brno",
  isbn="978-80-214-5614-3"
}