Blind Image Quality Evaluation of Stitched Image using Novel Hybrid Warping Technique

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.

Full and Reduced Reference Image Quality Assessment of Panoramic View using Novel Hybrid Image Stitching Method

“…Therefore lower the value of RRIQA score, better the quality of stitched image. If the standard pristine resulting image using any image stitching method is not available, then authors in [22] proposed Blind Image Quality Assessment.…”