Enhancement of Multispectral Ikonos Satellite Image Using Quantum Information Processing

Article type: Research Article

Authors: Shanker, N.R. | Ramakrishnan, S.S.

Affiliations: Research Scholar, Institute of Remote Sensing, Anna University, Chennai, India. nr_phd@yahoo.co.in

Note: [] Address for correspondence: Anna University, Chennai, India

Abstract: The objective of the paper is to demonstrate how an image enhancement technique denoted quantum Fourier transform, improves the possibilities for visual interpretation of multispectral IKONOS satellite image, covering an urban area. Image representation is usually based on a mathematical function that has two spatial values, x and y. The spatial points x and y in the image function have the values to represent intensity of the image at that spatial point. An alternative method of image representation is the transformation. Transformation is also a mathematical method in which an image is represented as complex exponential summations. The complex exponentials have the varying magnitudes, frequencies and phases. Transformation method of image representation is useful for image analysis, interpretations, filter etc. In this paper an image is represented based on the quantum mechanics for image analysis. The image is transformed using quantum Fourier transforms. For a specific application the result of processed image is better than the original image then it will be called as Enhancement. Enhancements of images are done in two broad categories. They are spatial domain methods and frequency domain methods. Frequency domain methods are based on transforms. And here quantum transforms is implemented. It is shown how the quantum Fourier transforms are applicable in the remote sensing satellite images, particularly for image enhancement. The satellite image of IKONOS is covering the Chennai city in Tamilnadu, India. From experimental result, it is observed that the pixels have low correlation when quantum Fourier transforms, are applied.

DOI: 10.3233/FI-2010-290

Journal: Fundamenta Informaticae, vol. 101, no. 4, pp. 305-320, 2010