@InProceedings{10.20532/ccvw.2013.0018, author = {Nikola Bani{\' c} and Sven Lon{\v c}ari{\' c}}, title = {Using the Random Sprays Retinex Algorithm for Global Illumination Estimation}, booktitle = {Proceedings of the Croatian Compter Vision Workshop, Year 1}, pages = {3-8}, year = 2013, editor = {Lon{\v c}ari{\' c}, Sven and {\v S}egvi{\' c}, Sini{\v s}a}, address = {Zagreb}, month = {September}, organization = {Center of Excellence for Computer Vision}, publisher = {University of Zagreb}, abstract = {In this paper the use of Random Sprays Retinex algorithm for global illumination estimation is proposed and its feasibility tested. The algorithms based on the Retinex model provide local illumination estimation for each pixel and they often have a high computation cost while another problem is the noise in the resulting images. As the assumption of the uniform illumination holds in many cases, it should be possible to use the mean of local illumination estimation of Retinex algorithms as a global illumination estimation because in that case their performance can be easily measured and there is also a possibility of a significantly lower computation cost. Therefore we propose a method for estimating global illumination estimation based on local Retinex results. For our tests we use a publicly available color constancy image data base for testing. The results are presented and discussed and it turns out that the proposed method outperforms many existing unsupervised color constancy algorithms.}, doi = {10.20532/ccvw.2013.0018}, url = {https://doi.org/10.20532/ccvw.2013.0018} }