Processing image upscale
I’ll use LANCZOS resampling to upscale the image by 2x, then apply mild denoising, adjust the contrast, and enhance the details using PIL’s available filters. I’ll save the upscaled images as PNG and JPG, and provide links, as they’re likely the best way to share this with the user.
Upscaling and enhancing image
I'll avoid overpromising "super-resolution" and just offer the best 2x LANCZOS upscale with an unsharp mask, ensuring a clean result. I'll load the .png image, apply contrast, sharpen with ‘ImageFilter.UnsharpMask’, and enhance brightness and clarity slightly. To reduce noise, I’ll apply a light median filter before sharpening to keep edges intact.
Finalizing image enhancement
I’ll apply 'ImageFilter.SMOOTH_MORE,' then unsharp masking for a cleaner result. I’ll keep the metadata intact, but note saving to PNG may lose EXIF data. I’ll offer both the upscaled version and a cleaned version at the original resolution as requested. A download link will be provided, along with a short Russian message: “Готово! Вот улучшенная версия (2x) + сравнение.”
Python code for image enhancement
I’m writing the code to upscale the image by 2x using LANCZOS resampling. The resized image will undergo mild denoising with 'ImageFilter.SMOOTH,' focusing on preserving detail. I'll apply 'ImageOps.autocontrast' to adjust contrast safely, making sure not to oversmooth. Let’s ensure clarity after the resize.
Thought for 1m 9s
