An Effective Technique To Compress Images Through Hybrid Wavelet-Ridgelet Transformation

In recent days, images play a vital role in a wide range of applications. Some of the significant application fields such as medical, education, surveillance also utilize images. Images are of large size and hence they are difficult to transmit and store. Images need compression for effective transmission and storage. A wide of range of compression techniques are available in the literature. Some of the techniques only compress the images by minimizing the size on disk without loss of data. In this paper, a hybrid compression technique comprised of wavelet and ridgelet methods is used for compressing images. Initially, the image is denoised with a filter and then the denoised image is transformed utilizing Discrete Wavelet Transform (DWT). After that, Finite Ridgelet Transform (FRT) is employed on the obtained wavelet coefficients, and the compressed image of reduced size is obtained. For decompression the Inverse FRT is employed subsequent to the inverse DWT process and the original image is obtained without loss of data.