The image filename is a specific identifier from the Set14 dataset , a widely used benchmark in Single Image Super-Resolution (SISR) research.
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. 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 The image filename is a specific identifier from
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. On Single Image Scale-Up Using Sparse-Representations of Raw
You will see this image and its associated paper cited in almost every major Super-Resolution study, including those for SRCNN , VDSR , and EDSR , as it serves as a standard for comparing Peak Signal-to-Noise Ratio ( PSNR ) and Structural Similarity Index ( SSIM ) values. AI responses may include mistakes. Learn more
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: