Generalised homomorphic and root filtering in 2D-nonseparable discrete linear canonical transform domains in the image enhancement applications Online publication date: Thu, 09-Mar-2023
by Shobha Sharma; Tarun Varma
International Journal of Computational Vision and Robotics (IJCVR), Vol. 13, No. 2, 2023
Abstract: In this paper, the generalised homomorphic filtering (HF) and root filtering (RF) techniques are extended to 2D-nonseparable discrete linear canonical transform (2D-NsDLCT) domains in the low light image enhancement applications. The objective is to improve the visual appearance for the benefit of further processing. The input image is first transformed into 2D-NsDLCT domains in the proposed methodology, and then HF or RF is applied to it. The filtered image is inverse transformed to the spatial domain. The advantage of the proposed technique is based on the fact that the 2D-NsDLCT domains provide many free parameters that can be varied to improve the visual quality of the given images. We have compared the simulation results of the proposed methods with the special cases of 2D-NsDLCT and state-of-the-art methods. The computed quality metrics reveal that the output images of the proposed methods have better quality than the competing techniques.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook