As an interdisciplinary between quantum computing and image processing, quantum image
processing provides more possibilities for image processing due to the powerful parallel …

Quantum programs allow to process multiple bits of information at the same time, which is
useful in multidimensional data handling. Images are an example of such multidimensional …

In order to further improve the contrast and sharpness of fused image, a novel multi-focus
image fusion algorithm based on spatial frequency-motivated parameter-adaptive pulse …

Image fusion is a challenging research area which is useful in various image processing
applications. Image fusion integrates information from multiple source images into a single …

The integration of Synthetic Aperture Radar (SAR) and optical imagery through image fusion
techniques is important in refining the accuracy and interpretability of images in remote …

Although colorful information in natural scenes can be collected, due to the limitation of
camera depth of field, it is hard to capture an image with all-in-focus. Sparse representation …

This paper presents algorithms, simulations, and results using machine learning and
quantum image fusion algorithms for radar and remote sensing applications. Previous efforts …

As pixel resolution continues to increase in images acquired from different sensors, the
measurement of the correlation between pixels and their properties requires numerous …

Demosaicking is a popular scientific area that is being explored by a vast number of
scientists. Current digital imaging technologies capture colour images with a single …

This thesis presents algorithms, simulations, and results using machine learning, image
fusion, and quantum feature extraction for radar and remote sensing applications. Previous …