Abstract
Stitching gaps and misalignments in mosaic images can severely degrade the human visual perception of mosaic effects. Image stitching plays a key role in eliminating these unpleasant defects. In this paper, an image-stitching method for mosaic images with invisible seams is proposed, according to the research on the human visual system (HVS). By quantifying the human visual attention of images and visual discrimination about luminance difference and fine dislocations, each pixel in the stitching region is given a priority value for tracing a stitching line. Coupled with the processing of an optimal stitching line locating method and the multi-band blending algorithm, the pixels of discontinuous items in mosaic images decrease significantly and the stitching line is almost invisible. This study provides a new insight into the image-stitching field, and the experiments show that the results of the proposed method are more consistent with the human visual system in creating high-quality image mosaics.
Highlights
A Seamless Image-Stitching Method Based on HumanSchool of Mathematical Sciences, Tianjin Normal University, Tianjin 300387, China Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin 300072, China Received: 17 January 2020; Accepted: 19 February 2020; Published: 21 February 2020
Due to the limited display range of a single image taken by a single lens, an excellent method for stitching and merging two or more adjacent images is required in the fields of remote sensing and computer vision
weight map (WM) is obtained based on human visual system (HVS), which includes the visual consisting of visual non-linearity (VN), luminance difference (LD), andof and visual attention referred to as visual saliency (VS)
Summary
School of Mathematical Sciences, Tianjin Normal University, Tianjin 300387, China Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin 300072, China Received: 17 January 2020; Accepted: 19 February 2020; Published: 21 February 2020
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have