Extracting image frames suitable for printing and visual presentation from the compressed image data

An image processing system for automatically extracting image frames suitable for printing or visual presentation from a compressed image data, comprising:

• a face detector that detects if an image frame contains at least a face;
• a blur detector coupled to the face detector to determine the blur indicator value of the image frame, if the image frame is determined to contain a face, directly using the information contained in the compressed image data, wherein the blur detector indicates that the image frame is suitable for printing and/or visual presentation if the blur indicator value is less than a predetermined threshold, wherein the blur detector further comprises
• an extractor that extracts DCT (Discrete Cosine Transform) coefficients directly from the compressed image frame;
• a blur calculation module that computes the blur indicator value by examining the occurrence histogram of non-zero DCT coefficients of the image frame, wherein the blur indicator value is normalized by the size of the image such that the blur indicator value is independent of the content and size of the image frame.