Object removal strategy using spatiogramic technique

Image deprivation usually occurs when certain image losses the stored information due to conversion or digitalization that decreases the quality of the image. Variation in brightness of color information in images is usually called as noise. Image usually subjects to noise of many types. The principle of Fourier transformation is used so as to decompose the image into sine and cosine components for representing the image in particular frequency. Image histograms are an important technique for inspecting images that are used to spot the background and grey value range at a glance. The concepts of spatiogram with both first order and second order are to enhance the image with high definition clarity thereby removing the dilapidation in image. In addition, the images were pre-evaluated before image manipulation process.