Academic Journal

AVIF as an Alternative to JPEG and GPU Texture Compression Schemes for Texture Storage in 3D Computer Graphics.

Bibliographic Details
Title: AVIF as an Alternative to JPEG and GPU Texture Compression Schemes for Texture Storage in 3D Computer Graphics.
Authors: Corino, Maria Grazia, Leidi, Tiziano, Peternier, Achille
Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2541, 22p
Subject Terms: JPEG (Image coding standard), Image compression, Texture mapping, Storage
Abstract: This article explores the potential of the emerging image compression standard AV1 Image File Format (AVIF) as a format for storing 2D texture data in 3D computer graphics, aiming to assess its suitability for graphics applications. It presents a comparative performance evaluation, focusing on image quality, compression efficiency, and processing times, by comparing AVIF with the traditional format JPEG and the texture compression schemes BPTC and S3TC. To conduct the evaluation, a selected set of test images is compressed into the specified formats, loaded as textures, and assessed in a mockup 3D application to evaluate their visual performance in a realistic rendering context. The results show that AVIF delivers better fidelity to the original image compared to JPEG, BPTC, and S3TC, while also yielding a smaller file size. It outperforms JPEG by 9.2 dB in visual quality and by 174.4% in compression ratio, on average. However, this comes at the cost of longer processing times, with AVIF taking 126 times longer than JPEG and 185 times longer than S3TC to encode an image. AVIF also showed a 536% increase in decoding time compared to JPEG. BPTC produced high-fidelity images, second only to AVIF, but it required longer encoding times, depending on the quality settings. However, unlike AVIF, it offers GPU optimization benefits. [ABSTRACT FROM AUTHOR]
Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: AVIF as an Alternative to JPEG and GPU Texture Compression Schemes for Texture Storage in 3D Computer Graphics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Corino%2C+Maria+Grazia%22">Corino, Maria Grazia</searchLink><br /><searchLink fieldCode="AR" term="%22Leidi%2C+Tiziano%22">Leidi, Tiziano</searchLink><br /><searchLink fieldCode="AR" term="%22Peternier%2C+Achille%22">Peternier, Achille</searchLink>
– Name: TitleSource
  Label: Source
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  Data: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2541, 22p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22JPEG+%28Image+coding+standard%29%22">JPEG (Image coding standard)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+compression%22">Image compression</searchLink><br /><searchLink fieldCode="DE" term="%22Texture+mapping%22">Texture mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Storage%22">Storage</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article explores the potential of the emerging image compression standard AV1 Image File Format (AVIF) as a format for storing 2D texture data in 3D computer graphics, aiming to assess its suitability for graphics applications. It presents a comparative performance evaluation, focusing on image quality, compression efficiency, and processing times, by comparing AVIF with the traditional format JPEG and the texture compression schemes BPTC and S3TC. To conduct the evaluation, a selected set of test images is compressed into the specified formats, loaded as textures, and assessed in a mockup 3D application to evaluate their visual performance in a realistic rendering context. The results show that AVIF delivers better fidelity to the original image compared to JPEG, BPTC, and S3TC, while also yielding a smaller file size. It outperforms JPEG by 9.2 dB in visual quality and by 174.4% in compression ratio, on average. However, this comes at the cost of longer processing times, with AVIF taking 126 times longer than JPEG and 185 times longer than S3TC to encode an image. AVIF also showed a 536% increase in decoding time compared to JPEG. BPTC produced high-fidelity images, second only to AVIF, but it required longer encoding times, depending on the quality settings. However, unlike AVIF, it offers GPU optimization benefits. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/app16052541
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 2541
    Subjects:
      – SubjectFull: JPEG (Image coding standard)
        Type: general
      – SubjectFull: Image compression
        Type: general
      – SubjectFull: Texture mapping
        Type: general
      – SubjectFull: Storage
        Type: general
    Titles:
      – TitleFull: AVIF as an Alternative to JPEG and GPU Texture Compression Schemes for Texture Storage in 3D Computer Graphics.
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            NameFull: Corino, Maria Grazia
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            NameFull: Leidi, Tiziano
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            NameFull: Peternier, Achille
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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            – TitleFull: Applied Sciences (2076-3417)
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