HyperAI

Jpeg Artifact Correction

JPEG Artifact Correction is an important task in the field of computer vision, aiming to eliminate visual artifacts caused by JPEG compression, primarily including block effects, blurring, and ringing artifacts. These artifacts result from quantization and the removal of high-frequency DCT coefficients, significantly degrading image quality. This task involves optimizing algorithms to restore image details and enhance visual effects, with broad application value in areas such as image processing, video editing, and digital content generation.