Novel Performance Analysis of DCT, DWT and Fractal Coding in Image Compression
| Autor: | D. V. S. Narayana, G. V. S. Raju, D. B. V. Jagannadham |
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| Rok vydání: | 2020 |
| Předmět: |
Discrete wavelet transform
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Data_CODINGANDINFORMATIONTHEORY Peak signal-to-noise ratio Transformation (function) Compression (functional analysis) Digital image processing Compression ratio Discrete cosine transform Artificial intelligence business Image compression |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9789811510960 |
| DOI: | 10.1007/978-981-15-1097-7_51 |
| Popis: | In digital image processing, image compression has prominent significance to improve the storage capacity, transmission bandwidth and transmission time. Basically, in image compression, the redundant information is reduced from the image by using proper compression techniques. The vital information in image is mined using different transformation techniques so that these transforms are used to restore image data without loss of information. In this paper, the compression of an image is done by three transform methods which are DCT, DWT and fractal coding using quadtree decomposition. Comparative analysis among these three transform methods is evaluated by finding performance evaluation parameters which are PSNR, MSE, CR and SSIM. Among the three different transform methods, DWT transform gives better PSNR, high compression ratio and low mean square error compared to other methods. Each transformation has its own merit and demerits. According to the application used for compression, the suitable method is used. |
| Databáze: | OpenAIRE |
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