Detail publikace

Image Bit-Depth Expansion Method Based on Sparse Representations

ZÁVIŠKA, P.

Originální název

Image Bit-Depth Expansion Method Based on Sparse Representations

Anglický název

Image Bit-Depth Expansion Method Based on Sparse Representations

Jazyk

en

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.

Anglický 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.

Dokumenty

BibTex


@inproceedings{BUT146714,
  author="Pavel {Záviška}",
  title="Image Bit-Depth Expansion Method Based on Sparse Representations",
  annote="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.",
  address="VUT v Brně",
  booktitle="Proceedings of the 24th Conference STUDENT EEICT 2018",
  chapter="146714",
  howpublished="online",
  institution="VUT v Brně",
  year="2018",
  month="april",
  pages="393--397",
  publisher="VUT v Brně",
  type="conference paper"
}