Viewing Bayer raw image data by separating it into individual bit channels offers several advantages for image analysis. It allows for the detection of subtle artifacts, highlights compression noise patterns, and helps identify anomalies or hidden structures that may not be visible in the full-resolution image. This approach provides deeper insights into the low-level characteristics of the image sensor data and can support tasks such as defect detection, sensor evaluation, or algorithm tuning.

The GIF demo below demonstrates for Image bits split

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