Performance Analysis of Hybrid Multilevel DWT Coding for Optimum Quantization Factor Determination

Image compression defines as reducing the amount of data required to represent digital image. This paper describes a hybrid approach of image compression technique by combining discrete wavelet transform and discrete cosine Transform together for obtaining high quality image suitable for storage applications. We have used a wavelet base image coding that utilizes benefits of discrete cosine transform on specific sub bands of wavelet and compared the effects of wavelet analysis and representation, compression ratio, image content and resolution to image quality. We enhanced our hybrid approach by the addition of Huffman coding. Subjective and objective evaluation of image has been performed by using peak signal to noise ratio and compression ratio.