# Perception Evaluation -- A new solar image quality metric based on the multi-fractal property of texture features

arXiv: https://arxiv.org/abs/1905.09980 · HTML: https://mlsanity.com/paper/1905.09980/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 May 2019.

## Built on by (most cited first, 1 of 1)

- [An Image Quality Evaluation and Masking Algorithm Based On Pre-trained Deep Neural Networks](https://mlsanity.com/paper/2405.03408/) (2024)

## Abstract (arXiv)

Next-generation ground-based solar observations require good image quality metrics for post-facto processing techniques. Based on the assumption that texture features in solar images are multi-fractal which can be extracted by a trained deep neural network as feature maps, a new reduced-reference objective image quality metric, the perception evaluation is proposed. The perception evaluation is defined as cosine distance of Gram matrix between feature maps extracted from high resolution reference image and that from blurred images. We evaluate performance of the perception evaluation with simulated and real observation images. The results show that with a high resolution image as reference, the perception evaluation can give robust estimate of image quality for solar images of different scenes.