Lost of Pixel Recovery in Colored Images using Neural Network
Lakhwinder Kaur1, Tejinder Thind2

1Prof. Tejinder Thind, Department of Computer Science & Engineering, Lovely Professional University, Jalandhar, India.
2Lakhwinder Kaur, Department of Computer Science & Engineering, Lovely Professional University, Jalandhar, India.

Manuscript received on 07 February 2013 | Revised Manuscript received on 21 February 2013 | Manuscript Published on 28 February 2013 | PP: 77-79 | Volume-2 Issue-3, February 2013 | Retrieval Number: C0425022313/2013©BEIESP
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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: As we know pixels are lost in colored images due to misfocus of devices, damaged devices, environmental condition and noise. So it is better to have good algorithm to get good quality of image even after de noising that using some algorithm. Many researchers are doing work in this field to recover pixel lost in given RGB image. We are going to present a noble approach for pixel recovery using neural networks to get better result as we know mean and median filter sometimes did not work well with images. Neural networks works on hidden number of layers in that so we use better number of hidden layers to find pixel to its most matching intensity.
Keywords: Colored images, Neural Network, pixel recovery

Scope of the Article: Neural Network