图像质量评估指标（3） 特征相似度FSIM - CSDN博客
2018年12月11日 · FSIM（Feature Similarity，特征相似性）这是用于计算图片质量或者对比两张图片相似性的一个评价参数，相比于PSNR（峰值信噪比）、SSIM（结构相似性）这个两个广泛使用的图像质量评价参数，FSIM更能体现图片之间的差异性，是一个很先进的图片质量评价参数。本 ...
图像质量评价（三）：FSIM - 知乎 - 知乎专栏
feature similarity index mersure(FSIM)利用特征相似性进行质量评价。 因为human visual system (HVS)是基于一些低层次特征来感知图像的，而相位一致性特征( phase congruency,PC)可以很好的刻画局部结构。
FSIM: A Feature Similarity Index for Image Quality Assessment
2011年1月31日 · The well-known structural similarity index brings IQA from pixel- to structure-based stage. In this paper, a novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features.
FSIM: A Feature Similarity Index for Image Quality Assessment
2018年10月11日 · FSIM: A Feature Similarity Index for Image Quality Assessment 是一篇由 Lin Zhang、Lei Zhang、Xuanqin Mou 和 David Zhang 合作完成的论文，发表于计算机与香港理工大学及西安交通大学的图像处理与模式识别研究...
In this paper, based on the SSIM measure, we propose a novel similarity metric of the features that have struc-ture beyond one-way array (vector), not limited to a non-negative histogram form unlike the previous methods.
feature similarity index implementation on PyTorch - GitHub
Lin Zhang, Lei Zhang, X. Mou and D. Zhang, FSIM: A Feature Similarity Index for Image Quality Assessment, IEEE Trans. Image Processing, vol. 20, no. 8, pp. 2378-2386, 2011. This repo aims to re-implement the original matlab program into PyTorch, which can cope with GPU.
Going Beyond Neural Network Feature Similarity: The Network Feature …
2023年10月10日 · However, feature similarity could be vague in describing the same feature since equivalent features hardly exist. In this paper, we expand the concept of equivalent feature and provide the definition of what we call functionally equivalent features.
Machine Learning Foundations: Features and Similarity
2020年3月9日 · In this article, I have introduced the concepts of features, feature vectors, feature normalisation and measuring the distance between feature vectors. This has been done through a worked example using the nominal features of a sound (loudness, frequency, duration).
The well-known structural-similarity (SSIM) index brings IQA from pixel-based stage to structure-based stage. In this paper, a novel feature-similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features.
Instance Similarity Learning for Unsupervised Feature …
2021年8月5日 · In this paper, we propose an instance similarity learning (ISL) method for unsupervised feature representation. Conventional methods assign close instance pairs in the feature space with high...