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Comparison of Different Image Compression Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 70 - Number 28 |
| Year of Publication: 2013 |
| Authors: Afshan Mulla, Namrata Gunjikar, Radhika Naik |
10.5120/12253-7934
|
Afshan Mulla, Namrata Gunjikar, Radhika Naik . Comparison of Different Image Compression Techniques. International Journal of Computer Applications. 70, 28 ( May 2013), 7-12. DOI=10.5120/12253-7934
Abstract
In recent years, the development and demand of multimedia product is growing increasingly fast, contributing to insufficient bandwidth of network and storage of memory device. This justifies the use of different compression techniques to decrease the storage space and efficiency of transferring the images over the network to conserve the bandwidth. A quality constrained compression algorithm based on Discrete Wavelet Transform (DWT) having a spatial-frequency decomposition property which provides quality assessment for images is implemented. 3D spiral JPEG based lossy image compression method which was implemented is based on 3-dimensional formation of the original image by spiral order scanning and 3D Discrete Cosine Transform (DCT). An application of optimum vector quantization on image compression is studied in the Novel K-means algorithm which is similar to the LBG (Linde-Buzo-Gray) algorithm which provides an optimum codebook for training sequence which will minimize the average distortion over the training sequence, provided certain regularity conditions are satisfied is also evaluated. These image compression techniques are studied and compared for their performance. The results show that the ideal approach for compression of images depends on the type of image that is being compressed. This paper summarizes the different compression methods as it is necessary to reduce the amount of data needed for storage and transmission of information on the basis of different image parameters such as MSE, PSNR etc.
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