Electronic Science and Technology ›› 2021, Vol. 34 ›› Issue (4): 41-46.doi: 10.16180/j.cnki.issn1007-7820.2021.04.007

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An Improved Image Shadow Removal Method

HU Chen,HU Demin,HU Yuyuan,CHU Chengwei   

  1. School of Optocal-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2019-12-30 Online:2021-04-15 Published:2021-04-16
  • Supported by:
    National Natural Science Foundation of China(61170277);Fund:National Natural Science Foundation of China(61472256);Key Project of Scientific Research and Innovation of Shanghai Municipal Education Commission(12ZZ17);First Class Construction Project of Shanghai(S1201YLXK)


In view of the problems of illumination unsaturation and texture inconsistency after shadow removal, a shadow removal method based on Retinex is proposed in this study. Based on the relationship between incident light and reflected light in Retinex theory, this method reevaluates the incident light map, assignes the average value of pixels in the three RGB channels to the target pixel point, and improves the gradient descent method. By adjusting the adaptive weight, the problem of illumination unsaturation and texture inconsistency after shadow removal is improved. The experiments on the UIUC data set prove that the root mean square error ratio of the experimental results is reduced to 0.4106, which verifies the effectiveness of the proposed method.

Key words: HSV, NSVDI, Nobuyuki Otsu, Retinex, light unsaturated, edege smooth, texture enhancement, gradient descent method

CLC Number: 

  • TP391.41