A structural similarity|inspired performance assessment model for ...

Inspired by the image quality evaluation criterion based on structural similarity (SSIM), we proposed a new robust assessment model that ...

PDF | In order to assess the performance of multisensor image registration algorithms that are used in the multirobot information fusion, we propose a.

The structural similarity index (SSIM) family is a set of metrics that has demonstrated good agreement with human observers in tasks using ...

A Hitchhiker's Guide to Structural Similarity - IEEE Xplore

Abstract: The Structural Similarity (SSIM) Index is a very widely used image/video quality model that continues to play an important role in ...

Our experiments with the current dataset show that the use of the other color components does not significantly change the performance of the model, though this ...

In this work, we will show that local structural similarity is itself an effective yet simple weighting scheme leading to substantial performance improvement of ...

Several contemporaneous image processing and computer vision systems rely upon the full-reference image quality assessment (IQA) measures.

Efficient image structural similarity quality assessment method using ...

The visual model is constructed by obtaining the characteristics of the HVS through physiological and psychological experiments, so as to ...

A comprehensive assessment of the structural similarity index

In recent years the structural similarity index has become an accepted standard among image quality metrics. Made up of three components, ...

Image quality assessment based on the perceived structural ...

In this paper, combining image distortion characteristics with HVS characteristics, based on the structure similarity index (SSIM) model, a ...

The structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital television and cinematic pictures, ...

On a Structural Similarity Index Approach for Floating-Point Data

For example, images are often created from the raw data as a means for evaluation against a reference dataset or image. While the popular Structural Similarity ...

A Comprehensive Assessment of the Structural Similarity Index

SSIM is used as a measure to compare the similarity between WLI Images and NBI images [34]. ... Assessment of Narrow Band Imaging Algorithm for Video ...

Simplified structural similarity measure for image quality evaluation

Results show that SSIMmod gives higher correlation than original SSIM, while SSIMsimpl with similar weighted mean correlation as originalSSIM achieves ...

Results from stuctural similarity measurement show that Inductive Miner algorithm obtain better performance in dealing with noise, especially related to ...

Image Quality Assessment: From Error Visibility to Structural Similarity

It re- mains to be seen how much these models can improve the performance of the current quality assessment algorithms. The Cognitive Interaction Problem ...

CSIM: A Copula-based similarity index sensitive to local changes for ...

Similarity metrics in computer vision play an important role in assessing the effectiveness and performance of various image and video ...

A Convolutional Neural Network Model based on Multiscale ...

The accuracy metrics considered to measure predictive performance ... structural similarity for image quality assessment,” The Thrity-Seventh.

Image decomposition-based structural similarity index for image ...

Perceptual image quality assessment (IQA) adopts a computational model to assess the image quality in a fashion, which is consistent with ...

Content-partitioned structural similarity index for image quality ...

However, the performance of SSIM and MS-SSIM has been observed to be less competitive when used to assess blurred and noisy images. It is intuitively obvious ...