Open AccessCompressed domain image retargeting in hierarchical wavelet trees
Author(s) -
Hsin HsiChin
Publication year - 2022
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/tje2.12093
Subject(s) - seam carving , set partitioning in hierarchical trees , computer science , scalability , retargeting , domain (mathematical analysis) , wavelet , set (abstract data type) , pixel , computation , artificial intelligence , set operations , algorithm , image (mathematics) , pattern recognition (psychology) , wavelet transform , discrete wavelet transform , mathematics , mathematical analysis , database , programming language
Abstract This paper presents an efficient algorithm with content aware spatial scalability for effective displaying on various screens of different sizes. It combines the set partitioning in hierarchical trees (SPIHT) algorithm and the multiscale seam carving (MSC) algorithm in the compressed domain. As seams of insignificant wavelet trees can be discarded as early as possible, the burden of unnecessary computation and memory space is alleviated. Experimental results show that the proposed algorithm is preferable to other existing pixel‐domain algorithms.