mlsanityData to 14 Oct 2026

Deep Image Compression Using Scene Text Quality Assessment

arXiv 2305.11373 ↗First posted 19 May 2023cs.CVcited by 4

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Abstract (arXiv)

Image compression is a fundamental technology for Internet communication engineering. However, a high compression rate with general methods may degrade images, resulting in unreadable texts. In this paper, we propose an image compression method for maintaining text quality. We developed a scene text image quality assessment model to assess text quality in compressed images. The assessment model iteratively searches for the best-compressed image holding high-quality text. Objective and subjective results showed that the proposed method was superior to existing methods. Furthermore, the proposed assessment model outperformed other deep-learning regression models.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 18 of its 36 references that are in the map. First posted on arXiv 19 May 2023.

Builds on

18 of 36 references.

References · 18

  1. 2017Attention Is All You Needcited by 60,361
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  8. 2018Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transformcited by 371
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  10. 2021Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognitioncited by 194
  11. 2020Asymmetric Gained Deep Image Compression With Continuous Rate Adaptationcited by 85
  12. 2020Scene Text Image Super-Resolution in the Wildcited by 63
6 more
  1. 2021Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transformcited by 58
  2. 2019Variable Rate Deep Image Compression with Modulated Autoencodercited by 40
  3. 2021Text Prior Guided Scene Text Image Super-resolutioncited by 37
  4. 2022A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutioncited by 35
  5. 2021Text Gestalt: Stroke-Aware Scene Text Image Super-Resolutioncited by 28
  6. 2021Enhance to Read Better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancementcited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 1; 2025: 0; 2026: 1.

4 papers.

  1. 2023IBVC: Interpolation-driven B-frame Video Compressioncited by 12
  2. 2023Minimum Description Length Clustering to Measure Meaningful Image Complexitycited by 10
  3. 2024Learned Image Compression with Text Quality Enhancementcited by 1
  4. 2026TextBoost: Boosting Scene Text Fidelity in Ultra-low Bitrate Image Compressioncited by 1