Considering image enhancement approach
I'm thinking about implementing an image enhancement procedure: load an image from the path, convert it to RGB, upscale 2x or 3x using LANCZOS, and apply slight unsharp masks for detail enhancement. For denoising, I could use PIL's MedianFilter if OpenCV isn't available. I'll save the result as PNG and provide a download link.
Weighing image enhancement approaches
I could use a tool to handle more advanced super-resolution, as it might provide better results. However, since I can't guarantee access to certain references, it's safer to compute directly in a way that's accessible to the user. I’ll focus on the accessible method now and proceed from there.
Designing image enhancement pipeline
I’m putting together an image editing process using PIL. First, I'll open the image, convert it to RGB. For noise reduction, I might go for a slight despeckle with a small median filter, but it could blur, so I’ll consider other options like "DETAIL" or "SMOOTH_MORE." Then, I'll upscale the image by 2x or 3x.
Refining image enhancement
I’m considering resizing the image based on its resolution—up to 3410x1536, using scaling by 2x. I'll sharpen it with an UnsharpMask filter, but I need to make sure it doesn’t get too sharp. I’ll also apply a "DETAIL" filter for clarity, but might avoid EDGE_ENHANCE_MORE due to potential halos. Finally, I'll save it out.
Thought for 56s
