Loreta Adriana Suta

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This paper presents a local no-reference blur assessment method in natural macro-like images. The purpose is to decide the blurriness of the object of interest. In our case, it represents the first step for a plant recognition system. Blur detection works on small non-overlapping blocks using wavelet decomposition and edge classification. At the block level(More)
In this paper we present a global no macro-like images. The purpose is to study the possibility of global assessment based on the an analyzed image. In our case, it represents the first step for a plant recognition system. Blur detection works on small non overlapping blocks using wavelet decomp global images. A set of rules is obtained by a supervised(More)
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