A wavelets based de-ringing technique for DCT based compressed visual data

Author

Michielin, F. ; Calvagno, Giancarlo ; Sartor, P. ; Erdler, O.

Author_Institution

Dept. of Inf. Eng., Univ. of Padova, Padua, Italy

fYear

2013

fDate

15-18 Sept. 2013

Firstpage

1100

Lastpage

1104

Abstract

In this paper we propose an effective de-ringing method for DCT compressed images and videos. This method performs a subband decomposition provided by a translation invariant wavelet and processes only the high level subbands by means of a local adaptive equalization around the edges of the image. This makes the procedure suitable for both texture and flat areas, and moreover for different compression ratios. The benefits of the algorithm are then shown with objective, based on PSNR and SSIM metrics, and subjective evaluations.

Keywords

data compression; discrete wavelet transforms; edge detection; video coding; DCT based compressed visual data; DCT compressed images; DCT compressed videos; compression ratios; high level subbands; local adaptive equalization; subband decomposition; translation invariant wavelet; wavelets based de-ringing technique; Adaptive equalizers; Discrete cosine transforms; Image coding; Image edge detection; PSNR; Quantization (signal); Transform coding; De-ringing; Denoising; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2013 20th IEEE International Conference on

Conference_Location

Melbourne, VIC

Type

conf

DOI

10.1109/ICIP.2013.6738227

Filename

6738227