Dual Energy "X Ray" Image Enhancement Using Hybrid Approach

X Ray images upgrade is acting as an imperative job in the location of unstable or illicit items. "X Ray" image review capacity is as yet a testing work. To decide the wrongs of foundation commotion, fogginess, and acuity in corrupted "X Ray" pictures, the story and productive upgrade approach dependent on X ray photo synthesis utilizing the proposed approach is discrete wavelet transform in this research. Today, "X Ray" innovation is generally utilized for stuff review. Be that as it may, "X Ray" images are as yet boisterous, obscure and with low differentiation. The "X Ray" image commotion impacts the edges of the item and force estimations of pixels which make vulnerability for the framework to segregate objects and for the administrator in basic leadership process also. Brimful endeavors are being made in this examination for improving component upgrade particularly the decrease of foundation commotion. By utilizing Discrete Wavelet Transform and Region of Interest (ROI) Enhancement Approach, the examination work gets acceptable outcomes. The proposed Wavelet based methodology is converged with ROI approach to deal with accomplishes capable outcomes. We cannot merge the two different sizes "X Ray" pictures for post handling. ROI approach is utilized to upgrade the particular area in dual energy "X Ray" images. Our proposed structure extremely helps the review framework while segregating threats and the entire screening process as is clear from the analysis results.