Efficient document-image super-resolution using convolutional neural network

DOI10.1007/S12046-018-0794-1zbMath1393.94121OpenAlexW2792224771WikidataQ130188711 ScholiaQ130188711MaRDI QIDQ724653

Ram Krishna Pandey, A. G. Ramakrishnan

Publication date: 26 July 2018

Published in: Sādhanā (Search for Journal in Brave)

Full work available at URL: https://www.ias.ac.in/describe/article/sadh/043/02/0015

zbMATH Keywords

document imagesuper-resolutionspatial resolutionPSNRconvolutional neural networkdocument qualityOCRrecognition accuracy

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• Theano
• Keras
• GitHub
• Tesseract

Cites Work

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• GitHub
• Tesseract
• Image Super-Resolution Via Sparse Representation
• Coupled Dictionary Training for Image Super-Resolution

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