The many ways to give your pics the high-res makeover

Upscaling a photo may seem straightforward—simply open a photo editing tool, adjust the size, and let the software do the rest. However, the results can often be inconsistent, leading to blurry images or pixelated artifacts, especially with pixel art. To achieve better results, it’s essential to choose the right method based on the type of photo being upscaled, as well as consider the image format for editing and final use.

How Traditional Upscaling Works

Conventional upscaling methods operate on the principle of adding new pixels based on the average of surrounding pixels. The effectiveness of these methods varies depending on how many pixels are factored into the average and the weight assigned to each. Traditional upscaling does not inherently enhance detail.

Nearest-neighbor upscaling is an exception, as it simply copies the nearest pixel, making it suitable for pixel art and geometric shapes. However, it can introduce aliasing in regular photos, resulting in a pixelated appearance. Bilinear upscaling averages four surrounding pixels, producing a softer image that may not be ideal for detailed shots. Bicubic upscaling, which considers 16 surrounding pixels, strikes a balance between quality and resource usage, yielding sharper images but potentially introducing halos.

More advanced algorithms, such as the Lanczos method, require more processing power and may not significantly outperform bicubic upscaling, making it a secondary option.

What About AI Upscaling?

Unlike traditional methods, AI upscaling employs predictive algorithms to create new images that closely resemble the original when scaled down. This technique is trained on millions of high-resolution images, allowing it to produce cleaner and more saturated results, particularly beneficial for degraded source images.

For instance, an old, grainy photo can be enlarged while reducing graininess through AI upscaling. However, this method can also lead to unintended alterations; for example, an AI upscaler might add features, such as eyes to a blurred face, based on common patterns it has learned. Therefore, AI upscaling may not be suitable for images where accuracy is critical.

Don’t Forget the Image Format

The choice of image format significantly impacts what can be done with a photo. JPEG is the most widely compatible format, ideal for large photo libraries due to its smaller file sizes, but it lacks transparency support. PNG offers a good balance of quality and editing capabilities, making it suitable for logos and illustrations, although it results in larger file sizes.

For web use, Google’s WebP format is advantageous, as it provides smaller file sizes compared to both JPEG and PNG, leading to faster loading times. If using Apple devices, the HEIC format is recommended for its efficient storage and editing capabilities, although it has limited compatibility outside the Apple ecosystem.