Analysis of Image Enhancement Techniques

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Apoorva Sundaresan, Pavitra Iyer, Priyanka Patil, Kavita Tewari, Rupali Patil


Resolution is one of the most important characteristic of an image and it defines the quality of an image. Resolution in its most basic form can be defined as the number of pixels of an image. For proper processing, the image needs to have spatial, temporal and spectral resolution. Images from remote sensing devices especially satellite images undergo resolution degradation due to environmental changes, limitations in sensor characteristics, etc. It is thus necessary to improve these images for better visual interpretation and to make them suitable for further processing. Image enhancement is a crucial preprocessing step which is problem oriented and application specific. In this paper, satellite image resolution enhancement techniques based on the Wavelet domain like DWT, WZP and DWTSWT are compared. Wavelet Transform is an important field for the research in Image Processing. Image enhancement being a subjective process is compared using quantitative parameters like PSNR, MSE, MAE and SSIM.

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How to Cite
, A. S. P. I. P. P. K. T. R. P. “Analysis of Image Enhancement Techniques”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 5, no. 3, Mar. 2017, pp. 450-4, doi:10.17762/ijritcc.v5i3.327.