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Hybrid Image Compression

Kritika Sukhija, Rohit Bansal

Abstract


Image compression is one type of data compression technique that reduces the size and transmission of digital image. The major area of image compression technique is that it can decrease the amount of the image pixel parts without disturbing the original picture with the help of various transformations. In this thesis, we take the input image and apply and relate wavelet methods for image compression, and we have also compared the outcome with the popular well-known discrete cosine transform (DCT) image compression. Wavelet methods provide superior outcome in so far as properties similar to RMS error, image intensity, image strength and execution time. At the present time, wavelet techniques are used in various signals, image processing tools including speech, and computer visualization. In the wavelet technique at high frequencies, short windows are used, and at small frequencies, long windows are used. Since wavelet technique is basically secondary band-coding method, band-coding methods have been quite booming in language and image compression. It is obvious that discrete wavelet transform (DWT) has potential method during compression problem. We use DCT is this thesis because it is broadly adapted and is a strong method which is used for compression of images. We developed an algorithm which has the capability to carry most of the data and information in smallest number of pixels compared to other method; with our algorithm, wavelet-based transform provides superior result.

Keywords: data compression technique, DCT image compression, discrete cosine transform, image compression, wavelet-based transform, wavelet technique

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References


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