抽象的

Hybrid Decomposition and Filter Techniques for Contrast Image Enhancement

Swastheka.V, Nagavani.C

The SAR images which are termed as Synthetic Aperture RADAR (SAR) images are employed in various fields of research oriented work. One of the drastic problems of these classifications of images is their low perception value. A new method is advised to overwhelm the satellite image which uses the normal type of basic level wavelets and threshold decomposition techniques. The novel algorithm that proposes, use Discrete Wavelet Transformation with a level of 2 dimensional in nature. This is to decompose the input image into various levels of sub bands. Frequency subband separation is done in the level of decomposition. Then, the high-frequency band separated (HH) images and the input low-validated image (LL) have been compared to give a new highly enhanced image by using the reverse process of Discrete Wavelet Transform. Thresholding is a scheme that is employed in nonlinear image analysis. This hybrid method will give greater results. In order to get an image with a greater level of accuracy, a mid level stage for estimating the sub bands has been proposed. The results identified should be validated with some parameters such as Peak Signal-to- Noise Ratio and Root Mean Square Error. The results show deviation of the proposed technique over the conventional systems.