BDPCM Context Modeling Constraints for Transform-Skipped Blocks

The patent divides transform skipped blocks into different regions and applies context modeling selectively to different syntax element bins based on their position and importance. This segmentation allows the system to focus computational resources on critical bins while using simpler coding for less important ones, thereby improving compression efficiency without proportionally increasing processing overhead.

The patent implements different context modeling strategies for different bins of syntax elements within transform skipped blocks. Certain bins receive detailed context modeling while others use simplified or bypass modeling, creating local quality variations that optimize the balance between compression efficiency and processing complexity based on the specific characteristics of each bin.

The patent implements adaptive BDPCM deblocking where the deblocking strength and mode are dynamically adjusted based on local block characteristics, boundary conditions, and prediction modes. This dynamic adaptation allows the system to achieve high deblocking performance where needed while using simpler or no deblocking where appropriate, thereby managing device complexity effectively.

The patent changes key parameters of the BDPCM deblocking process adaptively, including boundary strength values, filtering modes, and application conditions, based on the specific characteristics of adjacent blocks and the current coding context. This parameter adaptation enables effective deblocking performance while avoiding unnecessary computational complexity in uniform or low-complexity scenarios.