RAW Image Noise Prediction for Color Adjustment
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Solution Overview
Problem
Noise amplification during color conversion processes, such as those using CDL, 3D-LUT, and RRT, leads to deteriorated image quality, which is difficult to detect on small monitors at the filming location but becomes apparent in post-production, necessitating additional noise reduction processing and reducing work efficiency.
Innovation Solution
An image processing apparatus that predicts noise amounts based on RAW image data, image capturing conditions, and color adjustment parameters, determines optimal image capturing conditions, and adjusts noise reduction parameters to minimize noise amplification, thereby improving image quality before post-production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If color conversion is performed by applying parameters (CDL, 3D-LUT, RRT) to captured image, then color adjustment is achieved, but noise is amplified and image quality deteriorates
Solution Approach 1:
The system performs preliminary noise reduction processing on RAW image data before color conversion is applied. By predicting the noise amount that will result from the intended color adjustment parameters and applying appropriate noise reduction in advance, the system prevents noise amplification from degrading image quality while still allowing the color adjustment to be effectively applied.
2Manufacturing precision
If noise reduction processing is performed after post-production color adjustment, then image quality can be corrected, but work efficiency is reduced
Solution Approach 1:
The system performs noise reduction processing at the RAW image stage before color adjustment and post-production workflows. By predicting the noise amount based on the intended color adjustment parameters and applying noise reduction in advance, the system eliminates the need for additional noise reduction work in post-production, thereby maintaining high work efficiency while ensuring image quality.
3Speed
If image is checked on small monitor at photographing location, then color adjustment can be verified quickly, but noise amplification is difficult to notice
Solution Approach 1:
The system provides feedback about the predicted noise amount resulting from color adjustment parameters to the user at the photographing location. By calculating and displaying noise amount information based on the RAW image data and intended color conversion parameters, the system enables users to assess potential noise amplification effects even on small monitors, allowing for informed decisions about color adjustment settings before leaving the location.
Data Source
AI summary
An object of the present invention is to provide an image processing apparatus capable of reducing noise in advance that occurs due to color adjustment. The present invention is an image processing apparatus having: a noise amount prediction unit configured to predict a noise amount based on RAW image data acquired by image capturing under fixed image capturing conditions, a color adjustment parameter and the image capturing conditions; an image capturing condition determination unit configured to determine image capturing conditions the contents of which have been changed based on the predicted noise amount; a noise reduction parameter determination unit configured to determine a noise reduction parameter; and a noise reduction unit configured to perform noise reduction processing in accordance with the noise reduction parameter for RAW image data acquired by image capturing under the image capturing conditions determined by the image capturing condition determination unit.