Comparative analysis of DCT, Haar and Daubechies Wavelet for Image Compression
نویسنده
چکیده
Image compression is a method through which we can reduce the storage space of images, videos which will helpful to increase storage and transmission process’s performance. In image compression, we do not only concentrate on reducing size but also concentrate on doing it without losing quality and information of image. In this paper, we present the comparison of the performance of Discrete cosine transform, Discrete wavelet transform and wavelets like Haar Wavelet and Daubechies Wavelet for implementation in a still image compression system and to highlight the benefit of these transforms relating to today’s methods. The performance of these transforms are compared in terms of Signal to noise ratio SNR, Mean squared error (MSE) and Energy Retained (ER) etc. Keywords-DWT, DWT, SNR, MSE, ER, Image Compression
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