Abstract
Image stitching is collection of sequential images captured at fixed camera center having considerable amount of overlap and produces aesthetically pleasing seamless panoramic view. But, practically it is very difficult to obtain clean and pristine stitched panoramic image of particular scene as such images are apparently distorted. In this paper, a novel Hybrid Warping technique is used that combine two global warps and one local warp and helps to refine image alignment stage. Our proposed method optimizes Homography Screening to rectify problem of perspective distortion and Edge Strength Similarity approach to quantify structural irregularities. The Blind Image Quality Evaluation models such as Blind Image Quality Index (BIQI), Blind/Reference-less Image Spatial QUality Evaluator (BRISQUE) and BLind Image Integrity Notator using DCT Statistics (BLIINDS-II) are employed to measure objective quality of stitched image. The experimental results showed that blind image quality score of proposed method is significantly better than latest existing methods.
Highlights
Now-a-days image stitching technology is available readily in advanced digital cameras and smart phone devices
One more approach is investigated in this paper based on edge structural similarity (ESSIM) to determine the boundaries in stitched image
Our proposed technique is very efficient in terms of geometric realism as it passes through three improving stages viz. Hybrid Warping, Homography Screening and canny edge detection
Summary
Now-a-days image stitching technology is available readily in advanced digital cameras and smart phone devices. Results obtained in above cases face one of the issues like structural misalignments, colour differences, motion blur and noticeable seams. Most of the researchers have used geometric transformation, image warping algorithms and image compositing techniques. The proposed work is focused on accurate alignment of two overlapping images using novel Hybrid Warping technique. In case of image stitching application, the resulting image of above mentioned warping models are apparently distorted and standard reference images are unavailable. Blind image quality models address the issues like severity of perceptual distortion, loss of visual information due to blurring and loss of resolution due to limited depth of field.
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