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"Does Google's algorithm prioritize smaller file size over image quality when compressing 1080p photos, or is there a way to convince Google Images to send us a higher quality, uncropped 1080p image?"

Google's image compression algorithm, Guetzli, reduces file size by up to 35% compared to traditional JPEG compression, but may compromise on image quality at higher resolutions.

The human eye can process up to 220 pixels per degree of visual angle, which is why 1080p (1920x1080 pixels) is considered a high-definition resolution.

Google Images uses a proprietary algorithm to compress images, which may prioritize smaller file size over image quality, especially for larger images.

The JPEG compression algorithm, widely used for image compression, discards up to 75% of the original image data to reduce file size.

Google's image rendering engine, WebP, can compress images up to 30% smaller than JPEG while maintaining similar quality.

The resolution of an image is not the only factor in determining its quality; bitrate, rendering resolution, and compression algorithms also play a significant role.

Google Stadia's image rendering is optimized for 4K resolution (3840x2160 pixels), but may downscale to 1080p or lower for slower internet connections.

Upscaling images using AI-powered tools can increase resolution by up to 4X without sacrificing quality, but may introduce artifacts or noise.

The Galaxy S21 smartphone can display 4K videos, but may not support 4K resolution for all apps or content.

The Sony Bravia 40-inch FHD TV mentioned in the Reddit thread can display up to 1080p (1920x1080 pixels) resolution, but may not support 4K resolution.

Full HD resolution (1080p) is limited to 1920x1080 pixels, which is lower than the maximum resolution supported by modern smartphones (e.g., 4K or 2160x3840 pixels).

Google Photos restricts uploaded photos to 16 megapixels of quality and Full HD (1080p) for video resolution, which may affect image quality.

Artifacting, or visual distortion, can occur when compressing images, especially when using lossy compression algorithms like JPEG.

The human visual system is more sensitive to luminance (brightness) than chrominance (color), which is why images with high contrast may appear more detailed than those with low contrast.

Google's image search algorithm prioritizes relevance and context over image quality, which may affect the resolution and quality of search results.

Upscale any video of any resolution to 4K with AI. (Get started for free)