Development of a Novel Method for Image Resizing Using Artificial Neural Network

Auteur(s): Kyamakya Kyandoghere Jean Marie Vianney
Auteur(s) (S/D): Conference Proceedings
Titre de l'ouvrage: International Conference on Intelligent Human Computer Interaction
Editeur: Cham : Springer Nature Switzerland
Année: 2022
pages où le chapitre se trouve dans l’ouvrage: p. 527-539

Résumé

<a href="https://doi.org/10.1007/978-3-031-27199-1_53">https://doi.org/10.1007/978-3-031-27199-1_53</a>  In this paper, we develop an artificial neural network (ANN)-based method for image resizing. The proposed adaptive image interpolation method based on artificial neural networks is compared with neural network and image interpolation-based methods developed by contributed researchers using a USC-SIPI image dataset. The comparison is based on assessment methods such as Mean Squared Error (MSE), Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM). The comparison clearly shows that the proposed method outperforms its counterparts considered in this work.