Novel approach for satellite image resolution and contrast enhancement using wavelet transform and Brightness Preserving Dynamic Histogram Equalization

Abstract

A new satellite image resolution and contrast enhancement technique based on DWT (Discrete wavelet transform), Stationary Wavelet Transform (SWT) and BPDHE (Brightness Preserving Dynamic Histogram Equalization) has been proposed. The wavelet transform is used to construct the high resolution image. The BPDHE is used to enhance the contrast of the image. The low resolution low contrast image is decomposed by using Discrete Wavelet Transform and Stationary Wavelet Transform. The subbands are interpolated by Lanczos interpolation. The intermediate process is carried out to produce low contrast high resolution image. The contrast is enhanced by using Brightness Preserving Dynamic Histogram Equalization. The Output of BPDHE is decomposed by Wavelet Transform and the new LL is constructed using Singular Value Decomposition. The subbands are recombined using inverse wavelet transform. The proposed method enhances the resolution and contrast of the low resolution and contrast image. The quantitative metrics are measured to show that the proposed method is superior to the conventional method.