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首页> 外文期刊>Signal Processing Letters, IEEE >Non-Shift Edge Based Ratio (NSER): An Image Quality Assessment Metric Based on Early Vision Features
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Non-Shift Edge Based Ratio (NSER): An Image Quality Assessment Metric Based on Early Vision Features

机译：基于非位移边缘的比率（NSER）：基于早期视觉特征的图像质量评估指标

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摘要

How to evaluate the image perceptual quality is a fundamental problem in image and video processing, and various methods have been proposed for image quality assessment (IQA). This letter presents a novel IQA metric, which is based on the image primitive features produced in the earliest processing stage of human visual system. The procedures involved in the proposed method include computing the response of classical receptive fields, zero-crossing detection, and non-shift edge based ratio (NSER) calculation. The proposed IQA metric is very simple but very effective. The experimental results on benchmark databases show that the NSER index has very high consistency with the psychological evaluation, performing much better than most state-of-the-art IQA metrics.
机译：如何评估图像感知质量是图像和视频处理中的基本问题，并且已经提出了用于图像质量评估（IQA）的各种方法。这封信提出了一种新颖的IQA度量，该度量基于人类视觉系统最早处理阶段中产生的图像原始特征。所提出的方法涉及的程序包括计算经典感受野的响应，过零检测和基于非移动边沿的比率（NSER）计算。提出的IQA指标非常简单，但非常有效。基准数据库上的实验结果表明，NSER指数与心理评估具有非常高的一致性，比大多数最新的IQA指标表现要好得多。

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