Abstract
Image Stitching can be defined as a process of combining multiple input images or some of their features into a single image without introducing distortion or loss of information. The aim of stitching is to integrate all the imperative information from multiple source images to create a fused mosaic. Therefore, the newly generated image should contain a full description of the scenery than any of its individual source images and is more suitable for human visual and machine perception. With the recent rapid developments in the domain of imaging technologies, mosaicing has become a reality in wide fields such as remote sensing, medical imaging, machine vision, and the military applications. Image Stitching therefore provides an effective way by reducing huge volume of information by extracting only the useful information from the source images and blending them into a high-resolution image called mosaic.
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Arora, R., Singh, P. (2018). Histogram of Oriented Gradients for Image Mosaicing. In: Panda, B., Sharma, S., Batra, U. (eds) Innovations in Computational Intelligence . Studies in Computational Intelligence, vol 713. Springer, Singapore. https://doi.org/10.1007/978-981-10-4555-4_14
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