Image Upscaling: AI Super-Resolution vs Traditional
Can you make a small image larger without losing quality? Compare AI upscaling tools with traditional bicubic interpolation.
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Tags: image, upscaling, ai
Image Upscaling: AI Methods vs Traditional Interpolation Upscaling — making an image larger — is fundamentally harder than downscaling. When you make an image smaller, you're summarizing existing information. When you make it larger, you're inventing information that was never captured. Traditional interpolation algorithms are honest about this: they produce smooth but blurry results because they can only average what's already there. AI-based super-resolution changes the equation. By training on millions of high/low-resolution image pairs, neural networks learn to hallucinate plausible high-frequency detail — sharp edges, realistic texture, reconstructed fine structure — that goes far beyond what any traditional algorithm can produce. The results are often striking, but they come with…
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