The Importance Of Image Compression

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CHAPTER 1 INTRODUCTION An image is an artifact that records visual perception, for instance a two-dimensional image, which has a similar look to some subject—usually a physical object or a person. Images may be two-dimensional, like screen show, photographs or it can also be three dimensional, such as hologram or sculpture. Images will be captured by optical devices like cameras. A digital image is essentially a collection of pixel values arranged in rows and columns. Each pixel consists of 8 bits which allows different brightness level ranging from 0 to 255. The captured photos from camera forms an image, it requires considerable amount of storage space to save it as file. To reduce the storage space for storing of a captured image, image has to be compressed. This is called as image compression. Compression is a method which is used to decrease the redundancies in representing the data there by reducing the storage space. Image compression is an important field of research which has been studied…show more content…
Its advantage over the traditional Fourier transform is it can analyse the physical situation where signal contains sharp spikes and discontinuities. Wavelets are used independently in various fields of mathematics, quantum physics, electrical engineering, and biomedical field. Networking between these fields during the last ten years have led to many new wavelet applications such as image compression, signal processing. The basic idea behind wavelets is to evaluate according to scale. Wavelets are nothing but mathematical function which divides continuous time signal or given function into different components. Fourier transform was used to transform data sequence and functions from time domain to frequency domain However, in wavelet analysis. It allows simultaneous time and frequency analysis

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