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A Study on the Effect of Truncating the Discrete Cosine Transform (DCT) Coefficients for Image Compression
Authors: K. Somasundaram, T. S. Revathy , S. Praveenkumar & T. Kalaiselvi Impact Factor
Number of views: 349
Image compression is essential to reduce the cost of storage and transmission of large image files. Image
compression methods are classified into lossy and lossless compression methods. In lossless compression, the image data
in the decompressed image is exactly the same as that of the original image, whereas, in the lossy compression, the data in
the decompressed image is very close that of the original. For most applications, lossy compression is used. Lossy
compression achieves a higher compression than the lossless compression. Discrete Cosine Transform (DCT) is one of the
methods used for lossy compression. In DCT, the image is divided into small blocks, usually of 8X8 pixel size, and the DCT
transform is applied to that. The transformed image also contains 8X8 coefficients. The information in the first few
coefficients carries most information about the image and the remaining carry less information. Therefore, the coefficients
that carry the least information can be dropped and the remaining can be stored as a compressed image. This results in the
reduction of file size. In this article, an experimental study is made on the image quality of the reconstructed image by
truncating a certain number of DCT coefficients.