Image Sensor Data Processing via Single-Pass Demosaicing

The patent combines multiple image processing operations (range scaling, demosaicing, matrixing, range clipping, and gamma correction) into a single pass through the image data. This merging of operations eliminates the need for multiple sequential passes, thereby reducing computational load and memory access while maintaining processing completeness through a unified algorithmic approach that performs all necessary transformations in one traversal.

The patent performs preliminary computations during the single pass, including calculating white balance statistics from a sample of pixels and preparing lookup tables for range scaling and gamma correction. These preliminary actions are completed before the main processing pass, allowing the subsequent single pass to execute all operations efficiently without requiring multiple traversals of the complete image data.

The patent merges multiple processing stages into a single computational pass, which can be efficiently implemented in hardware with reduced complexity. By combining range scaling, demosaicing, matrixing, range clipping, and gamma correction into one unified algorithmic flow, the hardware implementation requires fewer separate circuit blocks and interconnections, thereby reducing overall circuit complexity and silicon area while maintaining high processing speed.

The patent performs preliminary computations such as white balance statistics gathering and lookup table generation before the main processing operation. These preliminary actions can be pre-computed or cached, allowing the main hardware processing path to be simplified and faster, as it only needs to execute the optimized single-pass algorithm without repeated data traversals or complex conditional logic.

The patent combines multiple image processing operations into a single pass algorithm that can be efficiently implemented in software. This merging reduces the total number of computational operations required, thereby lowering computational power requirements while maintaining high image quality through the unified processing approach that performs range scaling, demosaicing, matrixing, range clipping, and gamma correction in one efficient traversal.

The patent performs preliminary computations such as white balance statistics gathering from sampled pixels and prepares lookup tables for range scaling and gamma correction before the main processing. These preliminary actions reduce the computational burden during the main processing pass, allowing software implementations to achieve high image quality with lower overall computational power requirements by avoiding repeated data traversals and operations.