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Analysis and Comparison of Image Enhancement Technique for Improving PSNR of Lung Images by Wiener Filtering over Histogram Equalization Technique

Abstract

Aim: The aim of this study is to compare and analyze wiener filter algorithm for lung image enhancement over novel histogram equalization technique. Materials and Methods:In this research, different sources of lung images collected from the kaggle website were used. Samples were considered as (N=30) for median filtering and (N=30) for novel histogram equalization technique with total sample size calculated using clinical.com. As a result the total number of samples was calculated to be 60. Using SPSS Software and a standard data set, the PSNR was obtained. Both median filter and novel histogram equalization technique image enhancement were implemented on lung images through Matlab coding and also extracting PSNR values of each image. Then through SPSS software comparison and analysis has been made. Result:. The novel histogram equalization technique showed higher results of PSNR (67.2076dB) in comparison with wiener filtering (37.1558dB). It is observed that histogram algorithm performed better than the Wiener filter (p=0.04) by performing an independent sample t-test. Conclusion: Within this research study the histogram equalization image enhancement technique has greater PSNR value of lung images than in wiener filtering technique.

Imprint

Sabarish Raja T, Ramadevi R. Analysis and Comparison of Image Enhancement Technique for Improving PSNR of Lung Images by Wiener Filtering over Histogram Equalization Technique. Cardiometry; Issue 25; December 2022; p.832-837; DOI: 10.18137/cardiometry.2022.25.832837; Available from: https://www.cardiometry.net/issues/no25-december-2022/wiener-filtering-histogram

Keywords

Image Enhancement,  Filtering Technique,  Image Processing,  Wiener Filter,  Peak Signal to Noise Ratio (PSNR),  Novel Histogram Equalization Technique
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