Set_41_img_29_491615812a62cdcd56c55b1e29d25768.jpg May 2026

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:

The image filename is a specific identifier from the Set14 dataset , a widely used benchmark in Single Image Super-Resolution (SISR) research. Set_41_IMG_29_491615812a62cdcd56c55b1e29d25768.jpg

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 Specifically, this image corresponds to the image, which

On Single Image Scale-Up Using Sparse-Representations of Raw Image Patches Authors: Roman Zeyde, Michael Elad, and Matan Protter AI responses may include mistakes

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

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.