image processing
Image Sharpening Using Frequency Domain Filters
An image can be smoothed by attenuating the high-frequency components of its Fourier transform. Because edges and other abrupt changes in intensities are associated with high-frequency components, image sharpening can be achieved in the frequency domain by high pass filtering, which attenuates the low-frequency components without disturbing high frequency information in the Fourier transform. The … Read more
Gaussian Lowpass Filters in image processing
The form of these filters in two dimensions is given by This transfer function is smooth, like Butterworth filter. Gaussian in frequency domain remains a Gaussian in spatial domain Advantage: No ringing artifacts Where D0 is the cutoff frequency. When D(u,v) = D0, the GLPF is down to 0.607 of its maximum value. This means … Read more
Butterworth Low-Pass Filter in image processing
Transfer function of a Butterworth lowpass filter (BLPF) of order n, and with cutoff frequency at a distance D0 from the origin, is defined as Transfer function does not have sharp discontinuity establishing cutoff between passed and filtered frequencies. Cut off frequency D0 defines point at which H(u,v) = 0.5
The Flow Of Image Compression Coding
Image compression coding is to store the image into bit-stream as compact as possible and to display the decoded image in the monitor as exact as possible. Now consider an encoder and a decoder as shown in Fig. 1.3. When the encoder receives the original image file, the image file will be converted into a … Read more
Error-free compression in data compression
Error-free compression techniques usually rely on entropy-based encoding algorithms. The concept of entropy is mathematically described in equation (1): where: a j is a symbol produced by the information source P ( a j ) is the probability of that symbol J is the total number of different symbols H ( z ) is the … Read more
Image Compression And Coding Models
The source encoder reduces or eliminates any redundancies in the input image, which usually leads to bit savings. Source encoding techniques are the primary focus of this discussion. The channel encoder increase noise immunity of source encoder’s output, usually adding extra bits to achieve its goals. If the channel is noise-free, the channel encoder and … Read more
Redundancy in data compression
Data compression is the process of reducing the amount of data required to represent a given quantity of information. Different amounts of data might be used to communicate the same amount of information. If the same information can be represented using different amounts of data, it is reasonable to believe that the representation that requires … Read more
Compression Methods Of Images
Compression methods can be lossy, when a tolerable degree of deterioration in the visual quality of the resulting image is acceptable or lossless, when the image is encoded in its full quality. The overall results of the compression process, both in terms of storage savings – usually expressed numerically in terms of compression ratio (CR) … Read more
IMAGE COMPRESSION in image processing
Definition: Image compression deals with reducing the amount of data required to represent a digital image by removing of redundant data. Images can be represented in digital format in many ways. Encoding the contents of a 2-D image in a raw bitmap (raster) format is usually not economical and may result in very large files. … Read more