Authors : K. Hemachandran and B. Justus Rabi
Abstract: To reduce the size of the image to store more images in the memory or disk and to reduce the transmit time for sending the images over the internet or to download from internet image compression techniques are used. With the growth of technology and entrance into the digital age, the world has found itself in the middle of a enormous amount of information. Dealing with such enormous information can often present difficulties. Image compression is decreasing the size in bytes of a graphics file without reducing the quality of the image to an unacceptable level. In this study, a comparison was made between Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). The discrete cosine transform is a fast transform. It has excellent compaction for highly correlated data. DCT has fixed basis images DCT gives good compromise between information packing ability and computational complexity. Whereas DWT can also be used to reduce the image size without losing much of the resolutions computed and values less than a pre-specified threshold are discarded. Thus, it reduces the amount of memory required to represent given image. Comparing the efficiency of the technique DWT is preeminent in image compression.
K. Hemachandran and B. Justus Rabi, 2018. Performance Analysis of Discrete Cosine Transform and Discrete Wavelet Transform for Image Compression. Journal of Engineering and Applied Sciences, 13: 436-440.