Apr 25, 2022 · Image stitching technology aims to generate a Stitched Panoramic Image (SPI) by stitching multiple narrow-view images containing ...
Experimental results show that the proposed method can measure the stitched-specific distortions more accurately, and is more coincident with subjective ...
Image stitching technology aims to generate a Stitched Panoramic Image (SPI) by stitching multiple narrow-view images containing over-lapping regions.
To automatically and accurately eval- uate the perceptual quality of SPIs, a novel local visual and global deep features based blind SPI quality evaluation ...
This paper designs a quality assessment metric specifically for stitched images, where ghosting and structure inconsistency are the most common visual ...
In this paper, we propose a novel no-reference (NR) IQA model based on the convolutional neural network (CNN) for assessing the perceptual quality of SCIs.
image quality evaluation using perception based features,” in Proc. 21st. 717 ... Wu, “Blind image quality assessment using. 880 a general regression ...
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We consider the problem of quality assessment (QA) of image stitching algorithms used to generate panoramic images for virtual reality applications.
Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning. Request PDF. Restricted access. IEEE ...
Oct 4, 2024 � Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning. Yueli Cui ... Mei Yu.