1. An image processing equipment, comprising: an image reducing part generating a reduced image of an obtained image being read; a reduced image storing part storing the reduced image being generated; an image storing part storing the obtained image in parallel with a processing by the image reducing part; a low-frequency noise component extracting part sequentially extracting a low-frequency noise component of each of pixels included in the obtained image based on pixel data of pixels included in a predetermined area of the reduced image at a portion corresponding to each of the pixels included in the obtained image; and a noise subtracting part sequentially reading pixel data corresponding to one of the obtained image stored in the image storing part and an adjusted image generated from the obtained image in synchronization with an output of the low-frequency noise component being extracted, and sequentially subtracting the low-frequency noise component from the pixel data being read, wherein respective processings by the low-frequency noise component extracting part and the noise subtracting part are pipelined, and the low-frequency noise component extracting part is configured to sequentially extract the low-frequency noise component by applying a spatial smoothing filter and comprises: a noise component extracting part sequentially extracting a noise component of each of pixels included in one of the reduced image and an adjusted reduced image generated from the reduced image based on pixel data of pixels included in a predetermined area, in which the predetermined area is in one of the reduced image and the adjusted reduced image from which the noise component is to be extracted; and an enlarging part performing an enlarging process on the noise component sequentially passed from the noise component extracting part, and sequentially generating the low-frequency noise component in each of the pixels included in the obtained image, in which the noise component extracting part extracts a difference between values before and after smoothing of the reduced image of the noise component.