Image Encoding Apparatus Wavelet Block Quantization

The patent applies local quality by dividing the image into multiple blocks and determining different correction parameters for each block based on its specific DC and AC values. This allows the quantization parameter to be locally adapted to the characteristics of each block, maintaining image quality in regions requiring higher precision while enabling aggressive compression in regions where it is less critical, thus resolving the contradiction between code amount control and image quality preservation.

The patent dynamically changes the quantization parameter based on the DC and AC values of each block. By calculating correction parameters from these statistical values and adjusting the quantization parameter accordingly, the system adapts the compression level to the local image characteristics, achieving both effective code amount control and maintenance of image quality where necessary.

The patent implements self-service by having each block determine its own correction parameter based on its intrinsic DC and AC values. The encoding process automatically adapts to local characteristics without requiring external intervention or complex global optimization algorithms. This self-determination approach maintains image quality while limiting complexity growth, as each block independently makes its own quantization decisions based on simple statistical measures.

The patent segments the image into multiple blocks, allowing the encoding process to be divided into independent, manageable units. Each block can be processed separately with its own correction parameter determination, which simplifies the overall complexity by breaking down the global optimization problem into many simple local decisions. This segmentation approach maintains image quality through local adaptation while keeping the device complexity manageable.