An Enhanced Approach to Improve UIQI and PSNR of Noised Colored Images using DWTT Filter
Kamlesh Lakhwani, Hemant Kumar Gianey, Shashank Gupta, Yogesh Bhargav, Ravi Kumar Bapna · 2018 International Conference on Computing, Power and Communication Technologies (GUCON) · 2018
Dependency on images in different types of communication media is increasing. For effective and simple communication images are preferred rather than text. Imagining makes things more comprehensible and easy. During data (image) transfer over internet for communication, sometimes images gets blurred and unidentifiable. This happens because of involvement of some additional unwanted component within the original image pixels; called noise. It is necessary to filter or remove noise from images for better visualization and improved readability. In this research paper, Discrete Wavelet Transform and Thresholding technique is used to remove Gaussian noise from digital images. This technique is designed to enhance the quality of digital images. Quality of filtered image is measured by calculating Mean Square Error, Peak Signal Noise Ratio and Universal Image Quality Index Parameters. After applying this technique on noisy images, result is compared with other three filters Average filter, Median filter and Winner filter. This paper also contributes a comparative study among these filters.