Study of the Efficiency of Interpolation Algorithms for the Image Pre-Scaling Method
Received: 2026-07-05 03:41:33
Published: 2025-12-21
Abstract
This paper addresses the problem of reducing compression artifacts that occur when using the JPEG algorithm. A pre-scaling method is proposed in which the original image is reduced in size before compression and restored to its original dimensions after decompression. The main focus is on a comparative analysis of three interpolation algorithms used for image restoration: bilinear, Lanczos, and Catmull–Rom. The experimental part of the study includes an assessment of the quality of restored images using the RMS, PSNR, and SSIM metrics on a specialized test dataset. The key finding is that bilinear interpolation, while being the least computationally intensive, provides restoration quality comparable to or better than that of more complex algorithms. Based on these results, the study concludes that the pre-scaling method combined with bilinear interpolation is an effective approach for improving the visual quality of compressed images under limited computational resources.
Keywords
- Image compression
- JPEG algorithm
- interpolation
- pre-scaling
- bilinear interpolation
- image quality
- evaluation metrics (SSIM, PSNR, RMS)
- digital image processing
- compression artifacts
- network traffic
- Сжатие изображений
- алгоритм JPEG
- интерполяция
- предварительное масштабирование
- билинейная интерполяция
- качество изображения
- метрики оценки (SSIM, PSNR, RMS)
- цифровая обработка изображений
- артефакты сжатия
- сетевой трафик
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This work is licensed under a Creative Commons Attribution 4.0 International License.
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