Reversible Data Embedding is a lossless reversible data embedding technique that embeds invisible data known as payload into the input image and uses the Difference Expansion (DE) technique. This paper uses a DE-based reversible scheme to reduce the amount of auxiliary information embedded and to increase the watermark length. The key concepts discussed in this paper are: Reversible Embedding, Extraction, and Restoration of the original dataset with minimal distortion. By observing redundancy, reversibility can be explored. Payload, PSNR, and Watermark Length have been used to assess the effectiveness of DE. Four data sets have been used - Lena, Boat, Airplane, and APC. For Lena, the payload obtained is 31.14 and the payload was found to be 0.76 implying that more information can be embedded in an image than in the standard methods.