Enhancing Spatial Characteristics of Satellite Images

Several research disciplines rely on satellite imagery because it possesses high quality; nevertheless, it is possible to enhance satellite images using digital image enhancement techniques that facilitate better noise reduction, contrast, and brightness. Smooth, crisp, and focused images obtained after image processing are used for assessing and demonstrating image characteristics. The present study uses several low-contrast images recorded using the Landsat sensor; multi-step spatial domain image processing is conducted for image enhancement. Initially, the Wiener Filter is employed for noise reduction; subsequently, Gamma Correction is employed for varying γ values, i.e., (0.3, 0.7, 1.1) and constant C = 1. Logarithmic transformation using C = 0.3 is the other image enhancement method. Algorithmic performance was assessed using standard values of AMBE, MSE, and PSNR. to check the signal and brightness power respectively. This outcome is so because the gamma transformation expression considers only the present mean and standard deviation for the working pixel.