Academic Journal
Efficient Image Processing Through Compressive Sampling: Bridging the Gap between Data Compression and HighQuality Reconstruction.
| Τίτλος: | Efficient Image Processing Through Compressive Sampling: Bridging the Gap between Data Compression and HighQuality Reconstruction. |
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| Συγγραφείς: | Ismaeel, Ghassan Ahmad |
| Πηγή: | Journal of Engineering & Sustainable Development; Aug2026, Vol. 30 Issue 5, p679-688, 10p |
| Θεματικοί όροι: | Image compression, Image reconstruction, Digital image processing, Bit-mapped graphics, Compressed sensing, JPEG (Image coding standard) |
| Abstract (English): | One of the longstanding problems in digital imaging is the compression of images with sufficient fidelity for reconstruction. Common file formats like JPEG and PNG are not well suited for higher compression, so there has been a growing interest in compressive sampling as an alternative. In this paper, the basic principles of compressive sampling are appraised, and its performance is compared with traditional methods of compression on a set of 129 animal images. The compression ratios of the Sparse Transform method on the test dataset were within the range of 9.26–93.44 (mean 45.02). Mean reconstruction error was 24.14, PSNR ranged from 18.98 to 27.07 dB (mean 23.27 dB), and SSIM from 0.68 to 0.96 (mean 0.85). The results presented here indicate that, among the compressive sampling variants tested, the Sparse Transform approach rose as the best combination of compression and reconstruction quality, whereas the conventional methods (including JPEG) have better reconstruction fidelity at each operating point. Finally, the paper raises a number of questions that need to be addressed in order to continue work in this area, particularly the applicability of the method to other more specialized imaging tasks. [ABSTRACT FROM AUTHOR] |
| Abstract (Arabic): | تركز المقالة على تقييم تقنيات العينة المضغوطة (Compressive Sampling - CS) لضغط الصور، من خلال مقارنة خمسة أنواع من تقنيات العينة المضغوطة مع ثلاثة برامج ترميز تقليدية (JPEG، WebP، JPEG2000) باستخدام مجموعة بيانات تضم 129 صورة لحيوانات. من بين طرق العينة المضغوطة، حقق نهج التحويل المتفرق (Sparse Transform) أعلى نسب ضغط بمتوسط 45.02، مع جودة إعادة بناء متوسطة بمتوسط نسبة إشارة إلى ضوضاء الذروة (PSNR) 23.27 ديسيبل ومتوسط مؤشر التشابه البنيوي (SSIM) 0.85، بينما فشلت الأنواع الأخرى من العينة المضغوطة إما في تحقيق ضغط فعال أو أنتجت إعادة بناء ضعيفة. أما برامج الترميز التقليدية، وخاصة JPEG، فقدمت دقة إعادة بناء فائقة بمتوسط PSNR يبلغ 53.00 ديسيبل ومتوسط SSIM يصل إلى 0.997، لكنها حققت نسب ضغط أقل بكثير. تستنتج الدراسة أن تقنية العينة المضغوطة بالتحويل المتفرق تقدم توازناً فريداً بين ضغط عالي جداً على حساب جودة صورة أقل، مما يجعلها مناسبة للتطبيقات التي تكون فيها مساحة التخزين أو عرض النطاق الترددي محدودين وتكون الجودة المتوسطة مقبولة، لكنها أقل ملاءمة للمهام التي تتطلب صوراً عالية الدقة. [Extracted from the article] |
| Copyright of Journal of Engineering & Sustainable Development is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 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.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient Image Processing Through Compressive Sampling: Bridging the Gap between Data Compression and HighQuality Reconstruction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ismaeel%2C+Ghassan+Ahmad%22">Ismaeel, Ghassan Ahmad</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of Engineering & Sustainable Development; Aug2026, Vol. 30 Issue 5, p679-688, 10p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Image+compression%22">Image compression</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing%22">Digital image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Bit-mapped+graphics%22">Bit-mapped graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Compressed+sensing%22">Compressed sensing</searchLink><br /><searchLink fieldCode="DE" term="%22JPEG+%28Image+coding+standard%29%22">JPEG (Image coding standard)</searchLink> – Name: AbstractNonEng Label: Abstract (English) Group: Ab Data: One of the longstanding problems in digital imaging is the compression of images with sufficient fidelity for reconstruction. Common file formats like JPEG and PNG are not well suited for higher compression, so there has been a growing interest in compressive sampling as an alternative. In this paper, the basic principles of compressive sampling are appraised, and its performance is compared with traditional methods of compression on a set of 129 animal images. The compression ratios of the Sparse Transform method on the test dataset were within the range of 9.26–93.44 (mean 45.02). Mean reconstruction error was 24.14, PSNR ranged from 18.98 to 27.07 dB (mean 23.27 dB), and SSIM from 0.68 to 0.96 (mean 0.85). The results presented here indicate that, among the compressive sampling variants tested, the Sparse Transform approach rose as the best combination of compression and reconstruction quality, whereas the conventional methods (including JPEG) have better reconstruction fidelity at each operating point. Finally, the paper raises a number of questions that need to be addressed in order to continue work in this area, particularly the applicability of the method to other more specialized imaging tasks. [ABSTRACT FROM AUTHOR] – Name: AbstractNonEng Label: Abstract (Arabic) Group: Ab Data: تركز المقالة على تقييم تقنيات العينة المضغوطة (Compressive Sampling - CS) لضغط الصور، من خلال مقارنة خمسة أنواع من تقنيات العينة المضغوطة مع ثلاثة برامج ترميز تقليدية (JPEG، WebP، JPEG2000) باستخدام مجموعة بيانات تضم 129 صورة لحيوانات. من بين طرق العينة المضغوطة، حقق نهج التحويل المتفرق (Sparse Transform) أعلى نسب ضغط بمتوسط 45.02، مع جودة إعادة بناء متوسطة بمتوسط نسبة إشارة إلى ضوضاء الذروة (PSNR) 23.27 ديسيبل ومتوسط مؤشر التشابه البنيوي (SSIM) 0.85، بينما فشلت الأنواع الأخرى من العينة المضغوطة إما في تحقيق ضغط فعال أو أنتجت إعادة بناء ضعيفة. أما برامج الترميز التقليدية، وخاصة JPEG، فقدمت دقة إعادة بناء فائقة بمتوسط PSNR يبلغ 53.00 ديسيبل ومتوسط SSIM يصل إلى 0.997، لكنها حققت نسب ضغط أقل بكثير. تستنتج الدراسة أن تقنية العينة المضغوطة بالتحويل المتفرق تقدم توازناً فريداً بين ضغط عالي جداً على حساب جودة صورة أقل، مما يجعلها مناسبة للتطبيقات التي تكون فيها مساحة التخزين أو عرض النطاق الترددي محدودين وتكون الجودة المتوسطة مقبولة، لكنها أقل ملاءمة للمهام التي تتطلب صوراً عالية الدقة. [Extracted from the article] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Journal of Engineering & Sustainable Development is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 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: BibEntity: Identifiers: – Type: doi Value: 10.31272/jeasd.2643 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 679 Subjects: – SubjectFull: Image compression Type: general – SubjectFull: Image reconstruction Type: general – SubjectFull: Digital image processing Type: general – SubjectFull: Bit-mapped graphics Type: general – SubjectFull: Compressed sensing Type: general – SubjectFull: JPEG (Image coding standard) Type: general Titles: – TitleFull: Efficient Image Processing Through Compressive Sampling: Bridging the Gap between Data Compression and HighQuality Reconstruction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ismaeel, Ghassan Ahmad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25200917 Numbering: – Type: volume Value: 30 – Type: issue Value: 5 Titles: – TitleFull: Journal of Engineering & Sustainable Development Type: main |
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