Enhancement of Shadow Region in an Image using Artificial Neural Network
Amruta Pokhare1, Sachin Gavhane2, Sanjay Shitole3

1Amruta Pokhare*, IT Department, UMIT, SNDT Women’s University, Mumbai, India.
2Sachin Gavhane, IT Department, Atharva College of Engineering, Mumbai University, Mumbai, India.
3Sanjay Shitole, IT Department, UMIT, SNDT Women’s University, Mumbai, India.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 3377-3382 | Volume-9 Issue-3, January 2020. | Retrieval Number: C7942019320/2020©BEIESP | DOI: 10.35940/ijitee.C7942.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image captured in darker region increases complexities in processing and extracting vital information. Enhancement of such images helps us to retrieve important data and various tools are available for the same. Proposed system uses multi layer feed forward artificial neural network. Error Back Propagation algorithm is used in training process. Desired data is obtained using log transformation method. The proposed model is trained to enhance only shadow part of an image. The results shows enhancement in the darker region and is expected to improve more by changing different parameters in the above methodology. 
Keywords: Shadow Region, Error Back Propagation Training, Image Enhancement, Multi Layer Perceptron.
Scope of the Article: Neural Information Processing