AC coefficient and K‐means cuckoo optimisation algorithm‐based segmentation and compression of compound images-Reference-Cited by-同舟云学术

AC coefficient and K‐means cuckoo optimisation algorithm‐based segmentation and compression of compound images

Published:2018-02 Issue:2 Volume:12 Page:218-225
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Manju Vethamuthu Nesamony¹,Lenin Fred Alfred²

Affiliation:

1. Department of Computer Science and EngineeringSathyabama UniversityChennaiIndia

2. Mar Ephraem College of Engineering and TechnologyMarthandamTamil NaduIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.0430

Reference17 articles.

1. 2012 Visual Communications and Image Processing (VCIP) W. Zhu W. Ding R. Xiong Compound image compression by multi‐stage prediction

2. 2015 IEEE Int. Conf. Multimedia and Expo (ICME) C. Lan J. Xu W. Zeng Compound image compression using lossless and Lossy Lzma in HEVC 1 6

3. 2009 IEEE C. Lan F. Wu G. Shi Compress compound images in H.264/MPEG‐4 AVC by fully exploiting spatial correlation

4. 2014 IEEE Int. Conf. Acoustic Speech and Signal Processing (ICASSP) W. Zhu O.C. Au W. Dai Palette‐based compound image compression in HEVC by exploiting non‐local spatial correlation

5. Subjective quality evaluation of compressed digital compound images;Yang H.;J. Vis. Commun. Image Represent.,2014

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