Many image and signal processing kernels can be optimized for performance consuming a reasonable area by doing loops parallelization with extensive use of pipelining. This paper presents an automated flexible pipeline design algorithm for our unique acceleration technique called Recursive Variable Expansion. The preliminary experimental results on a kernel of real life application shows comparable performance to hand optimized implementation in reduced design time. This make it a good choice for generating high performance code for kernels which satisfy the given constraints, for which hand optimized codes are not available.