Open AccessCompressed domain image resizing based on saliency histogram equalisation and seam carving
Author(s) -
Hsin HsiChin
Publication year - 2020
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2020.0116
Subject(s) - seam carving , computer science , discrete cosine transform , histogram , computer vision , resizing , artificial intelligence , carving , domain (mathematical analysis) , image (mathematics) , adaptive histogram equalization , image compression , computer graphics (images) , histogram equalization , image processing , mathematics , engineering , mechanical engineering , mathematical analysis , european union , business , economic policy
With the increasing popularity of mobile devices and internet services, resizing of compressed images is in high demand. In this study, a compressed domain content‐aware image resizing (CAIR) system is proposed. It takes a pair of meshes obtained by using saliency histogram equalisation and seam carving to convert the discrete cosine transform (DCT) blocks of the original image into the DCT blocks of the resized one without the burden of decompression and compression computations. Experimental results show that the proposed system is preferable to other existing CAIR algorithms, especially in terms of running time due mainly to the simplicity of histogram manipulation and dynamic programming.