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This article contemplates the framework of probabilistic image retrieval in the wavelet domain from a computational point of view. We not only focus on achieving high retrieval rates, but also discuss possible performance bottlenecks which might prevent practical application. We propose a novel retrieval approach which is motivated by previous research work on modeling the marginal distributions of wavelet transform coefficients. The building blocks of our work are the Dual-Tree Complex Waveletdoi:10.1109/tip.2009.2032313 pmid:19758865 fatcat:onobouk6hnfevb5zqv57etfuz4