IEEE Trans Image Process - A probabilistic approach for color correction in image mosaicking applications.

Tópicos

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Resumo

Image mosaicking applications require both geometrical and photometrical registrations between the images that compose the mosaic. This paper proposes a probabilistic color correction algorithm for correcting the photometrical disparities. First, the image to be color corrected is segmented into several regions using mean shift. Then, connected regions are extracted using a region fusion algorithm. Local joint image histograms of each region are modeled as collections of truncated Gaussians using a maximum likelihood estimation procedure. Then, local color palette mapping functions are computed using these sets of Gaussians. The color correction is performed by applying those functions to all the regions of the image. An extensive comparison with ten other state of the art color correction algorithms is presented, using two different image pair data sets. Results show that the proposed approach obtains the best average scores in both data sets and evaluation metrics and is also the most robust to failures.

Resumo Limpo

imag mosaick applic requir geometr photometr registr imag compos mosaic paper propos probabilist color correct algorithm correct photometr dispar first imag color correct segment sever region use mean shift connect region extract use region fusion algorithm local joint imag histogram region model collect truncat gaussian use maximum likelihood estim procedur local color palett map function comput use set gaussian color correct perform appli function region imag extens comparison ten state art color correct algorithm present use two differ imag pair data set result show propos approach obtain best averag score data set evalu metric also robust failur

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