Adaptive AI Denoise: Intelligent Grain Analysis and User Preference Learning

The current AI Denoise implementation uses a static default value (50) and requires manual activation per image or batch. This is inefficient for professional workflows:

1. Unnecessary Processing: Currently, Lightroom doesn't distinguish between a clean photo and a noisy one when syncing settings. It applies Denoise even if the image doesn't need it, wasting time and storage.

2. One Size Doesn't Fit All: Every photographer has a different "noise tolerance." Some prefer a clinical, smooth look, while others want to preserve some natural grain for aesthetic reasons.

I propose a smart and adaptive AI Denoise system with the following capabilities:

• Noise Detection: The AI should first analyze the image to determine if Denoise is even necessary. If the image is clean, it should skip the process or apply a 0% value.

• Intelligent Auto-Intensity: Instead of a fixed number, it should calculate the minimum intensity required to clean the specific grain of that file without washing out textures.

• User Preference Calibration: Allow users to set a "Noise Tolerance" profile. The AI would then modulate its intensity to match the user's specific style—learning whether the user prefers total smoothness or a film-like grain retention.

This would transform AI Denoise from a manual "fix-it" tool into a background intelligence that ensures a consistent, personalized look across thousands of photos with zero manual intervention.