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To solve the problem of the low efficiency of HDFS (Hadoop Distributed File System) to store mass images, this paper studied the HDFS architecture and the flow of reading and writing files into HDFS, and then proposed an access optimization solution for mass pictures which is based on Cache. It is called CHDFS (HDFS Based on Cache).CHDFS adopts the following ideas to improve the performance, such as establishing appropriate cache ,reading ahead pictures, merging more than one images into a big file and so on. File merge can decrease the number of metadata in Namenode and improve the capacity factor of storage space in Datanode. To the client, this solution does not complex the operations to use the HDFS, due to the transparency of cache, read ahead and pictures merge. The experimental data indicates that CHDFS can increase the performance of storing and accessing mass pictures in HDFS without affecting the normal running of HDFS.