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An image consisting of data (specifically a set of elements) defined on an n-dimensional regular grid that has the potential for display. These elements are referred to as pixels. The pixels in different images may represent a variety of types of information, such as temperature, pressure, velocity, terrain height, or tissue density. The regular grid is frequently over a two-dimensional space but can be three-dimensional, and even four-dimensional if sampling over time is also included.A digital image can be considered as a function F(x, y), where (x, y) represents the co-ordinate position of…mehr

Produktbeschreibung
An image consisting of data (specifically a set of elements) defined on an n-dimensional regular grid that has the potential for display. These elements are referred to as pixels. The pixels in different images may represent a variety of types of information, such as temperature, pressure, velocity, terrain height, or tissue density. The regular grid is frequently over a two-dimensional space but can be three-dimensional, and even four-dimensional if sampling over time is also included.A digital image can be considered as a function F(x, y), where (x, y) represents the co-ordinate position of the pixel and F represents the amplitude of the pixel at position (x, y).A gray scale image is an image where pixel value at any image point can be represented by a single valued function with a range of 0 to 2N-1 for an N-bit image. Here, measurement is done in only one axis i.e. Luminance (l) or Intensity (I) of the pixels.
Autorenporträt
Yogesh Kumar Rathore received M. Tech. Degree in Computer Science Engineering from Chhattisgarh Swami Vivekanand Technical University, Bhilai, India in the year 2010. Currenty, he is working as a Asst. Prof. in Raipur Institute of Technology, Raipur (C.G). His interests include cryptography, image processing, neural networks and machine learning.