HYBRID METHOD FOR THE IMAGE RECONSTRUCTION USING THE MULTI - LEVEL DATA EVALUATION

The image reconstruction plays the vital rol e in the data recovery from the projection data, which is always easier for the data backup storage systems as it take more than 90% less space for saving the image projection data than the original projection data. When the size of the image storage data rises up to the petabytes, exabytes or zetabytes, such as google images, facebook or flickr, it becomes really important to save the backup in the minimum storage space. The binary image reconstruction is playing the vital role in the image reconstruction, which may be improved to reconstruct the RGB or other 3 - D or N - D images. The proposed model aims at reconstructing the images with higher accuracy than the existing model, which is indicated from the minimized reconstruction error. The time complexity of the proposed model is recorded higher than the existing model, which is due to the inclusion of the highly complex computations than the simulated annealing algorithm.