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Reconstruction and Quality Improvement of Degraded Tribal Artworks Using Different Image Enhancement Techniques: A Comparative Performance Analysis
Arijit Das, Payal Bhardwaj, Rudra Sankar Dhar and Manoj Kumar Dutta

Art is a creative expression of artists and has no social, cultural and geographical boundary. Although unique and ethnic, the Janjatiya or the tribal artists are struggling for their existence because of various reasons namely, advancement of social media, improper preservation and marketing of their creations. Various linear and nonlinear filters and other techniques are available for improvement and image quality enhancement of the damaged paintings and artworks. In this paper Median filter, Gaussian filter, Wiener filter and Average (or Mean) filter along with various other techniques such as Bi-histogram equalization technique (BBHE) and Dualistic Sub-Image Histogram Equalization (DSIHE) have been applied for image quality improvement. Different parameters like Absolute Mean Brightness Error (AMBE), Peak Signal to Noise Ratio (PSNR), NormalizedMean Square Error (NMSE) and Contrast per Pixel (CPP) have been calculated and compared.

Keywords: Degraded image, quality improvement, nonlinear filtering, histogram equalization, DSIHE