Vivid_Me vs Smart Saturation

Create polished vivid color in seconds with Vivid_Me. Enrich color, clarity, and visual energy with balanced presets designed for many photo types. Designed for fast, visual editing: • Compare the original and edited image with a live split preview • Explore curated presets made for different photo styles • Blend the effect with your original for a subtle or bold finish • Save favorite effect settings in My Looks and reuse them • Share a labeled before-and-after image • Undo, redo, and resume your last edit • Save and share at high resolution • Edit across compact and expanded layouts with keyboard shortcuts • Process photos directly on your device Choose a photo, try a preset, and adjust until the result feels right. The focused editor keeps the image and its transformation visible throughout the process. Start creating for free in this ad-supported edition.

Have you ever tried to increase the saturation in your photos, excited to see the increase in vibrant colors and beauty, only to look at your skin and realize you look like a Cheeto? The problem rests in the fact that current saturation algorithms use a multiplication based approach, so if you double the saturation, (that is, every single pixel in the image doubles its saturation value), it would cause the very lowly saturated pixels to still be very low (e.g. 0.1 doubled is only 0.2), and very highly saturated pixels become immensely more saturated (e.g. 70 doubled is 140). Because of this, the not so colorful parts of your image stay not so colorful, while the already colorful parts of your image become unrealistically colorful. So, to accomplish proper saturation adjustment, we need a formula that adjusts the lowly colored pixels much more strongly than it adjusts the highly colored pixels. We built a formula for adjusting saturation values in accordance to what we have just described, and have made it accessible to the public with this app, Enjoy! --- As an added benefit this app also adjusts Brightness, if desired, according to this same algorithm. For educational purposes, the algorithm process is explained in the app. The algorithm and any of its refactored variations are property of Apps4Life, LLC, 2019, and are pending patent filing.