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Due to the high computational complexity of discrete cosine transform (DCT) computation, prediction of zero quantized DCT (ZQDCT) coefficients has been extensively studied to reduce the computational complexity of DCT computation. In this letter, we propose a reconfigurable architecture to support ZQDCT computation. Twelve different modes of DCT computations including zonal coding, multiblock processing, and parallel-sequential stage mode can be performed using proposed architecture. We develop a hybrid model-based quality priority algorithm to reduce power consumption, required hardware resources, and computation time with a small quality degradation.