Spatially Weighted Image Encoding for Panoramic Rendering Accuracy

The patent applies local quality by dividing the image into multiple spatial zones and assigning different encoding quality parameters to each zone based on its importance. Central regions receive higher quality parameters while peripheral regions receive lower quality parameters, optimizing both visual accuracy and encoding efficiency for non-uniform image capture.

The patent implements spatially varying encoding quality parameters that adapt to different regions of spherical or panoramic content. By identifying important spatial portions (such as regions corresponding to human visual attention or structurally important areas) and applying higher quality encoding to those regions while using lower quality encoding in less critical regions, the system reduces overall processing bandwidth requirements while minimizing visual artifacts in important areas.

The patent applies preliminary action by pre-determining spatially weighted encoding quality parameters during the encoding phase based on the non-uniform characteristics of the captured image. This preliminary classification and parameter assignment eliminates the need for complex real-time processing during rendering, as the decoding device can directly use the pre-assigned quality parameters without performing additional analysis or calculations.