sewar 0.4.3

All image quality metrics you need in one package.

# Sewar

Sewar is a python package for image quality assessment using different metrics. You can check documentation [here](http://sewar.readthedocs.io/).

## Implemented metrics - [x] Mean Squared Error (MSE) - [x] Root Mean Sqaured Error (RMSE) - [x] Peak Signal-to-Noise Ratio (PSNR) [[1]](https://ieeexplore.ieee.org/abstract/document/1284395/) - [x] Structural Similarity Index (SSIM) [[1]](https://ieeexplore.ieee.org/abstract/document/1284395/) - [x] Universal Quality Image Index (UQI) [[2]](https://ieeexplore.ieee.org/document/995823/) - [x] Multi-scale Structural Similarity Index (MS-SSIM) [[3]](https://ieeexplore.ieee.org/abstract/document/1292216/) - [x] Erreur Relative Globale Adimensionnelle de Synthèse (ERGAS) [[4]](https://hal.archives-ouvertes.fr/hal-00395027/) - [x] Spatial Correlation Coefficient (SCC) [[5]](https://www.tandfonline.com/doi/abs/10.1080/014311698215973) - [x] Relative Average Spectral Error (RASE) [[6]](https://ieeexplore.ieee.org/document/1304896/) - [x] Spectral Angle Mapper (SAM) [[7]](https://ntrs.nasa.gov/search.jsp?R=19940012238) - [x] Spectral Distortion Index (D_lambda) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Spatial Distortion Index (D_S) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Quality with No Reference (QNR) [[8]](https://www.ingentaconnect.com/content/asprs/pers/2008/00000074/00000002/art00003) - [x] Visual Information Fidelity (VIF) [[9]](https://ieeexplore.ieee.org/abstract/document/1576816/) - [x] Block Sensitive - Peak Signal-to-Noise Ratio (PSNR-B) [[10]](https://ieeexplore.ieee.org/abstract/document/5535179/)

## Todo - [ ] Add command-line support for No-reference metrics

## Installation Just as simple as ` pip install sewar ` ## Example usage a simple example to use UQI `python >>> from sewar.full_ref import uqi >>> uqi(img1,img2) 0.9586952304831419 `

## Example usage for command line interface ` sewar [metric] [GT path] [P path] (any extra parameters) ` An example to use SSIM `shell foo@bar:~$ sewar ssim images/ground_truth.tif images/deformed.tif -ws 13 ssim : 0.8947009811410856 ` Available metrics list ` mse, rmse, psnr, rmse_sw, uqi, ssim, ergas, scc, rase, sam, msssim, vifp, psnrb ` ## References [1] “Image quality assessment: from error visibility to structural similarity.” 2004)<br/> [2] “A universal image quality index.” (2002)<br/> [3] “Multiscale structural similarity for image quality assessment.” (2003)<br/> [4] “Quality of high resolution synthesised images: Is there a simple criterion?.” (2000)<br/> [5] “A wavelet transform method to merge Landsat TM and SPOT panchromatic data.” (1998)<br/> [6] “Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition.” (2004)<br/> [7] “Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm.” (1992)<br/> [8] “Multispectral and panchromatic data fusion assessment without reference.” (2008)<br/> [9] “Image information and visual quality.” (2006)<br/> [10] “Quality Assessment of Deblocked Images” (2011)<br/>