In order to improve compression ratio in image processing, vast amounts of algorithms have been offered and acquired desirable results by many eminent researchers. For example, Fractal Coding and Block Truncation Coding both can obtain higher compression ratios than other approaches, but on the other hand, some drawbacks also be brought with these algorithms such as longer time consumed in coding course, the accuracy of image reconstruction, and so on. Although these disadvantages may be impede, some practical applications of relevant methods, researchers still find some effective implements just rely on their advantages, especially in image retrieval. In this paper, we deploy BTC during the coding course of Fractal Code to decrease the coding time and image retrieval time, through classifying image blocks of Fractal Code into two groups. Experimental results show that this hybrid method is fruitful to compare single method.