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Guys what is 'Transform Domain' how to define it in images ?
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Spatial domain techniques directly deal with the image pixels. The pixel values are manipulated to achieve desired enhancement. Spatial domain techniques like the logarithmic transforms, power law transforms, histogram equalization, are based on the direct manipulation of the pixels in the image.
The term “time-domain image” is most appropriate for cases when the shaped forms are obtained by converting space-domain images into the time domain. Time–space conversions are useful in femtosecond optical signal processing, optical transmultiplexing, image processing, and temporal pattern generation and recognition.
Spatial domain is the representation of an image as a function of position. A domain is a set of values that a function can take. The spatial domain of an image is the set of all points in space that the image can occupy. The image is a function of position, so the spatial domain is the set of all positions in space.
Three-Dimensional Image Compression with Wavelet Transforms An example is the conventional cosine transform method used in the standard JPEG (Joint Photographic Experts Group) algorithm.
Its a mathematical procedure done in data (usually, digital images or music) that converts it from one domain (time, for example) to another (frequency), usually doing Fourier's or Laplace's Transforms.
In the new Domain the data could be more easily handled, for lossy compression, de-noising, sharpening, etc. After edited, data is transformed back to its original domain.
In music, such Transforms are used for MP3 compression, by removing higher (and almost inaudible) frequencies that takes a lot of space.
In Images its mostly used for noise filters (sharpen, blur, etc) and Watermarking.
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