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Face photo sketch synthesis has got some researchers' attention in recentyears because of its potential applications in digital entertainment and lawenforcement. Some patches based methods have been proposed to solve thisproblem. These methods usually focus more on how to get a sketch patch for agiven photo patch than how to blend these generated patches. However, withoutappropriately blending method, some jagged parts and mottled points will appearin the entire face sketch. In order to get a smoother sketch, we propose a newmethod to reduce such jagged parts and mottled points. In our system, we resortto an existed method, which is Markov Random Fields (MRF), to train a crudeface sketch firstly. Then this crude sketch face sketch will be divided intosome larger patches again and retrained by Non-Negative Matrix Factorization(NMF). At last, we use Multiresolution Spline and a blend trick namedfull-coverage trick to blend these retrained patches. The experiment resultsshow that compared with some previous method, we can get a smoother facesketch.

Face Photo Sketch Synthesis via Larger Patch and Multiresolution Spline