The objective of Video/image compression is to decrease inappropriateness and redundancy of the Video/image information in arrangement for store or transmit data in a capable form. Video/image compression may be lossy or lossless. Loss-less compression is preferred for real purposes and frequently for medical imaging, technical drawings, clip art, or comics. Lossy compression strategies, particularly when used at low bit rates, introduce compression artifacts. Lossy strategies are especially appropriate for natural Video/images such as images in applications wherever minor (sometimes imperceptible) loss of fidelity is suitable to attain a considerable reduction in bit rate. The lossy compression that produces imperceptible differences is also known as visually lossless. A fast algorithm rule for discrete cosine transforms (DCT)- domain Video/image resizing is accessible. To ease calculation, fast Wino grad DCTs is applied to a recently reported Video/image resizing method that make use of DCT low-pass truncated estimate. Our fast algorithm rule yields important enhancement in computational complexity over the fast algorithm of the reported method. We proposed modified carry look-ahead adder based fixed point DCT architecture.