Wavelet Transform Video Compression Quality Control

The patent segments the image data into multiple blocks and applies different quantization precision levels to different blocks. High-frequency blocks that contribute less to perceived image quality are quantized with lower precision, while low-frequency blocks are quantized with higher precision. This segmentation allows the system to reduce overall data volume while preserving the visual quality that matters most to human perception.

The patent implements local quality control by dynamically adjusting the quantization precision for each block based on its frequency characteristics and importance. Rather than applying uniform compression across the entire image, the system applies higher quality preservation to critical regions (low-frequency blocks) and accepts lower quality in less critical regions (high-frequency blocks), optimizing the trade-off between compression ratio and perceived image quality.

The patent employs dynamic quality control where the quantization precision is not fixed but adjusted based on the specific characteristics of each image block. The system dynamically determines which blocks require higher precision preservation and which can tolerate lower precision, allowing the compression algorithm to adapt to the local content requirements and maintain optimal quality at each compression level.

The patent changes the quantization parameter (precision level) based on the frequency content and importance of each image block. By varying this critical parameter across different blocks rather than using a single global parameter, the system achieves better quality-compression trade-offs, preserving detail where needed while maximizing compression where acceptable.