An Exploration of Space-Time Constraints on Contextual Information in Image-Based Testing Interfaces

Karadkar, Unmil P.; Nordt, Marlo; Furuta, Richard; Lee, Cody; Quick, Christopher M.

doi:10.1007/11863878_33

Cited by 2 publications

(1 citation statement)

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“…Satellite images must be restored and enhanced to eliminate noise. The analysis of the research and the use of the results aim to improve the visualization of images to provide different contextual information and to help achieve the end goal of designing effective training programs for clients [5]. In synthetic aperture radar (SAR), image enhancement reveals subtle image details that might otherwise be overlooked [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Quantum Computing in Image Processing

Sachdeva

Gupta

2023

Advances in Transdisciplinary Engineering

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If you read that quantum machine learning applications solve some traditional machine learning problems at an amazing speed, be sure to check if they return quantum results. Quantum outputs, such as magnitude-encoded vectors, limit the use of applications and require additional specifications on how to extract practical and useful results. In satellite images, degradation of image contrast and color quality is a common problem, which brings great difficulties for information extraction and visibility of image objects. This is due to atmospheric conditions, which can cause a loss of color and contrast in the image. Regardless of the band, image enhancement plays a vital role in presenting details more clearly. The research includes new computational algorithms that accelerate multispectral satellite imagery to improve land cover mapping and study feature extraction. The first method is a quantum Fourier transform algorithm based on quantum computing, and the second method is a parallel modified data algorithm based on parallel computing. These calculation algorithms are applied to multispectral images for improvement. The quantum-processed image is compared with the original image, and better results are obtained in terms of visual interpretation of the extracted information. Quantitatively evaluate the performance of the improved method and evaluate the applicability of the improved technology to different land types.

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Section: Literature Reviewmentioning

confidence: 99%