Multimedia has been widely used on the mobile platform. Due to its mobility and instability,the mobile terminal inevitably produces some blurred pictures (especially when shooting human faces). Hence, if these blurred and normal images are well classified and separated, it will be significant to improve the browsing efficiency. This paper focuses onresearch of two popular blur detection algorithms, DCT (Discrete Cosine Transform) and edge detection algorithm. It also offers the implementation of the blurred face image detection and classification system based on these two algorithms. At last it contrasts these two algorithms and draws a conclusion.