In this paper, we propose a novel superpixel-based sparse model for full reference omnidirectional image quality assessment. First, we segment the ...

superpixel-based sparse model for full reference omnidirectional image quality assessment. First, we segment the omnidirectional images into superpixel regions.

Multi-Angle Projection Based Blind Omnidirectional Image Quality Assessment ... A Light Field Image Quality Assessment Model Based on Symmetry and Depth Features.

In this paper, we propose a novel full reference stereoscopic image quality assessment (FR-SIQA) metric by utilizing SSIM-based binocular perceptual model. The ...

Missing: Superpixel- | Show results with:Superpixel-

In this work, we present SphSPS, a new general decomposition method (for Spherical Shortest Path-based Superpixels), that is dedicated to wide 360 o ...

Experimental results demonstrate that our proposed model outperforms state-of-the-art full-reference and no-reference IQA metrics on two public omnidirectional ...

Omnidirectional Image Quality Assessment With a Superpixel-Based Sparse Model ... based sparse model is proposed for full reference omnidirectional image ...

We propose a saliency detection model for 360-degree images by figure-ground law of Gestalt theory with feature contrast and boundary connectivity.

The super-pixel method, known as SPSSIM, is another well-known and new model that divides images into meaningful areas and the evaluation model is based on the ...