Image Scaling: How Hard Can it Be?
Genlang Chen, Huanyu Zhao, Christopher Kuo Pang and 2 more
IEEE Access · 2019
doi:10.1109/access.2019.2940353 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
For centuries, human artists have been scaling images by hand, sketching with varying levels of detail depending on the demands. Image scaling is a fundamental image operation and exists for various devices including mobile phones and computers. It has great commercial values and has attracted great efforts in research. In this article, we suggest a stretch-shrink based framework for image scaling which imitates the work of a human artist. This can be done by firstly representing the image with line segments (sketches) and then stretching or shrinking the length of the representing segments under proper ratios to achieve the desired scaling. Through extensive experiments, this framework exhibits the prominent ability to achieve high quality scaled images efficiently with less storage consumption.
Abstract licence: CC BY-NC-ND
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.