Contrast Enhancement Using Dominant Brightness Level Analysis and Adaptive Intensity Transformation for Remote Sensing Images

Abstract Image enhancement improves the quality of poor images. Distinctive procedures have been projected so far for getting better the feature of the digital images such as remote sensing images. A new satellite image contrast enhancement technique based on the Discrete wavelet transform (DWT), Brightness level analysis and Adaptive Intensity Transformation has been proposed. By the use of discrete wavelet transform wavelet transform, the input image decomposed into four directional sub-bands and the brightness level is computed in the LL subband using log average luminance. Based on the brightness level LL decomposes into low, middle and high intensity layers. Then Adaptive Intensity Transformation is applied to each decomposed layer of the image and reconstructs the enhanced image by applying inverse DWT. Out of various contrast enhancement approaches have been proposed in the literature, proposed algo- rithm overcomes the problems using the Lapped Transform func- tion. The experimental results show that the proposed algorithm enhances the overall contrast and visibility of local details better than existing techniques. The proposed method can effectively enhance any low-contrast images acquired by a satellite camera and are also suitable for other various imaging devices such as consumer digital cameras, photorealistic3-D reconstruction systems, and computational cameras.