Fixed-point predictive AMBTC image compression

Mingming Zhang; Quan Zhou; Yanlang Hu; Juanni Liu

doi:10.1117/12.2557294

3 January 2020 Fixed-point predictive AMBTC image compression

Mingming Zhang, Quan Zhou, Yanlang Hu, Juanni Liu

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 1137314 (2020) https://doi.org/10.1117/12.2557294
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

In this paper, the AMBTC image compression method is proposed which employs three alternative weights to predict the initial center. AMBTC is a simple but efficient compression algorithm, whereas in terms of the image with salt and pepper noise, the visual quality is not satisfying provided that the mean value is used as the threshold in each 4×4 block. The possible reason accounting for this drawback is that image pixels are modified while the mean value can only best represent the original image data rather than noise data. On the contrary, the median value is more proper to represent noise data alone, which indicates that the mean value alone is unable to properly represent the whole image added with noise. That is to say, when the weighted sum of the mean value and the median value is taken as the initial center, the deviation of image added with salt and pepper noise will be reduced. What’s more, noises with various intensities are added to each image in the standard database, which intends to search for the optimal center in each block, and make a mapping between intensities and weights. It is feasible for us to directly use three weights and analyze the noise intensity to predict the initial center. PSNR of an AMBTC image is improved with 1 dB on average. In order to further improve the visual quality, we search for the optimal center in the confidence interval around the initial center so that PSNR can be improved by 3 dB. The experimental results reveal that the proposed fixed-point prediction compression algorithm enhances the image quality and reduces the computational cost to a large extent.

Citation Download Citation

Mingming Zhang, Quan Zhou, Yanlang Hu, and Juanni Liu "Fixed-point predictive AMBTC image compression", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137314 (3 January 2020); https://doi.org/10.1117/12.2557294

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image compression

Image quality

Visualization

Image segmentation

Visual compression

Databases

Image processing algorithms and systems

Show All Keywords

Keywords/Phrases

Search In:

Publication Years