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Comparison of Different Image Compression Techniques
Content Provider | Semantic Scholar |
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Author | Mulla, Afshan Gunjikar, Namrata Naik, Radhika Ramesh Patel, Sardar Vallabhbhai |
Copyright Year | 2013 |
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 |
File Format | PDF HTM / HTML |
Alternate Webpage(s) | https://www.ijcaonline.org/archives/volume70/number28/12253-7934?format=pdf |
Alternate Webpage(s) | http://research.ijcaonline.org/volume70/number28/pxc3887934.pdf |
Language | English |
Access Restriction | Open |
Subject Keyword | Codebook Computer data storage Contribution Data compression Discrete cosine transform Discrete wavelet transform Distortion Image compression JPEG K-means clustering Linde–Buzo–Gray algorithm Location-based game Lossy compression Media Source Extensions Memory Device Component Multimedia Peak signal-to-noise ratio Quantization (signal processing) Vector quantization |
Content Type | Text |
Resource Type | Article |