Hybrid LWT and DCT based High-Quality Image Compression

Research in the field of image compression has grown significantly with the increasing need to publish images in computer and mobile environments. Image abstraction plays an important role in digital image processing, which is crucial for efficient image transmission and storage. Without degrading the image quality, the image size in byte is minimized by using image compression technique. Many different ways are used in this process to compress the input image. Therefore, this research study proposes hybrid compression technique includes Lifting Wavelet Transform (LWT) with discrete cosine transform (DCT) to provide the best properties for an image that is performed in JPEG compression method. To get the high quality compression ratio, lossy and lossless methods are used by this technique and also used to maintain the reconstructed image quality. A high compression ratio is produced by lossy compression, where reconstructed images high quality is brought by lossless compression and later it will be decompressed with same results. MATLAB software tool is used to implement the proposed compression process and to verify its performance in terms of various parameters such as PSNR, MSE and SNR.