Set_41_img_29_491615812a62cdcd56c55b1e29d25768.jpg (2025)

Lecture Notes in Computer Science (LNCS) , 2010 (Presented at the 7th International Conference on Curves and Surfaces). Context and Usage

Specifically, this image corresponds to the image, which is the 29th image (IMG_29) in the expanded or internal numbering of the Set14 collection. The paper that originally introduced and popularized this dataset for super-resolution evaluation is: Set_41_IMG_29_491615812a62cdcd56c55b1e29d25768.jpg

On Single Image Scale-Up Using Sparse-Representations of Raw Image Patches Authors: Roman Zeyde, Michael Elad, and Matan Protter Lecture Notes in Computer Science (LNCS) , 2010

While often referred to as Set14 , it is an extension of the earlier Set5 dataset. It consists of 14 images with varying textures and structures used to test how well algorithms can upscale images while preserving sharp edges. It consists of 14 images with varying textures

The long alphanumeric string ( 491615812a62cdcd... ) is a hash typically generated by automated dataset loaders (like those in PyTorch or TensorFlow environments) or specific repositories on platforms like Kaggle or GitHub to ensure file integrity.