z-logo
open-access-imgOpen Access
A New Efficient Reordering Algorithm for Color Palette Image
Author(s) -
Somaye Akbari Moghadam,
Mahnaz Rajabzade,
Mohammad Sadeq Garshasbi,
Javad Sadri
Publication year - 2013
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2014.01.08
Subject(s) - palette (painting) , lossless compression , computer science , permutation (music) , search engine indexing , image compression , dither , heuristic , algorithm , scheme (mathematics) , data compression , image (mathematics) , artificial intelligence , computer vision , image processing , mathematics , mathematical analysis , physics , noise shaping , acoustics , operating system
Palette re-ordering is a class of pre- processing methods aiming at finding a permutation of color palette such that the resulting image of indexes is more amenable for compression. The efficiency of lossless compression algorithms for fixed-palette images (indexed images) may change if a different indexing scheme is adopted. Obtaining an optimal re-indexing scheme is suspected to be a hard problem and only approximate solutions have been provided in literature. In this paper, we explore a heuristic method to improve the performances on compression ratio. The results indicate that the proposed approach is very effective, acceptable and proved.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom