Saturation Processing for HDR to SDR Dynamic Range Conversion

The patent applies parameter changes by modifying the saturation gain as a function of luminance value. Instead of using a fixed saturation gain, the patent dynamically adjusts the gain based on the luminance of each pixel, using different gain values for different luminance ranges. This prevents over-saturation in bright regions that causes clipping artifacts while maintaining color accuracy in mid-tone and shadow regions.

The patent implements dynamics by making the saturation processing adaptive rather than static. The saturation gain varies dynamically according to the luminance characteristics of the image content, allowing the processing to respond to different regions of the image. This dynamic adjustment prevents uniform over-saturation that leads to banding artifacts while preserving color fidelity where needed.

The patent applies segmentation by dividing the luminance range into multiple segments or bins, where each segment is assigned a specific saturation gain value. This segmentation approach simplifies the computational complexity by avoiding continuous gain calculation while still achieving adaptive saturation control. The segmented approach maintains color fidelity through region-specific processing without requiring complex real-time calculations.

The patent changes the saturation gain parameter based on luminance segmentation, using discrete gain values for different luminance ranges. This parameter change strategy simplifies computation by replacing complex continuous functions with discrete lookup tables or simple conditional logic, reducing computational complexity while maintaining color fidelity through luminance-aware saturation control.

The patent changes the saturation gain parameter from a fixed value to a luminance-dependent value. By adjusting the gain based on the luminance of each pixel or region, the patent achieves accurate color transformation across different luminance ranges. This parameter change maintains processing efficiency by using simple luminance-based conditional logic or lookup tables rather than complex calculations.

The patent applies local quality by using different saturation gain values for different luminance regions of the image. Instead of applying a uniform gain across the entire image, the patent tailors the saturation processing to local luminance characteristics, ensuring color accuracy in each region while maintaining overall processing efficiency through the systematic approach.

The patent changes the saturation gain from a constant to a luminance-varying parameter, which prevents artifacts by adapting the processing to local image characteristics. This simple parameter change based on luminance values effectively prevents over-saturation artifacts in bright regions and under-saturation in shadow regions without requiring complex processing algorithms.

The patent implements dynamics by making the saturation processing adaptive to luminance conditions. This dynamic adjustment prevents artifacts by responding to the actual image content rather than applying static processing. The dynamic nature of the solution keeps computational complexity low by using simple luminance-based control logic rather than complex artifact detection and correction algorithms.