A New Approach of Lossy Image Compression Based on Hybrid Image Resizing Techniques

In this study, we coordinated and employed known image resizing techniques to replace the widely applied image compression techniques defined by the Joint Photographic Experts Group (JPEG). The JPEG approach requires additional information from a quantization table to compress and decompress images. Our proposed scheme requires no additional data storage for compression and decompression and instead of using compression code it uses shrunken images that can be read visually. Experimental results indicate that the proposed method can coordinate typical image resizing techniques effectively to yield enlarged (decompressed) images that are better in quality than JPEG images. Our novel approach to lossy image compression can improve the quality of decompressed images and could replace the use of JPEG compression in current image resizing techniques, thus enabling compression to be performed directly in the spatial domain without the need for complex conversion in the frequency domain.