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What is a Digital Image?
An image is generally defined as a two-dimensional function, F. F has both x and y values that are spatial coordinates. The intensity of an image at any particular point of an image is determined by the amplitude of F at that point. For a digital image, the values of x, y, as well as the amplitude values are finite.
A digital image is composed of a finite number of elements all of which have various values at particular points of the image. The common terminology used to refer to digital image elements is a pixel. There are four common classifications of images. These include Binary image, 8-bit image, 16-bit image, and Black & white images. The types of digital images are expected to increase with advances in the signals and systems technology.
Digital Image Processing
Digital image processing is an increasingly popular topic both in computer science and in the engineering fields of science. It entails the use of computer algorithms to manipulate an image.
The process begins with an image, the processing may entail enhancing the image, modifying the image, or extracting particular properties off the image. Therefore, the input for digital image processing is an image and the output may be either a modified image or particular features from the image.
The digital image process, typically, involves three steps:
- The Importation of an image via the use of various image acquisition tools.
- The analysis of the imported image.
- Outputting of the results of the process and this may be a report or a modified image.
Digital image processing is a sub-field of signals and systems. To understand the concepts clearly, it is important, though not mandatory, to have basic knowledge in signals and systems.
Image Processing Applications
The image processing technology is applied in many fields. Some of these applications include:
- Computer vision: An automated watchdog system with applications in automated vehicles, medical image analysis, manufacturing industry robots, among others.
- Digital video processing: applied through signal processing and applied in such items as VCRs, video codecs, DVDs, and other video-playing systems.
- Face detection: used in systems that detect facial facials for recognition purposes with the frontal human faces being the focus of these systems.
- Remote sensing: used in systems such as Magnetic Resonance Imaging (MRI)
- Biometric verification
- Signature recognition
- Medical palmistry
Digital Image Processing nptel Assignment Answers
NPTEL is an E-learning platform that offers various courses and certifications. Digital image processing is one such course. For a student that is pursuing the course, it is critical that they are prepared for its challenging nature.
In order to find the right digital image processing nptel assignment answers, it often requires a student to be an avid reader and user of various available resources both from a physical library or a host of online resources.
Digital Image Processing Questions and Solutions
Digital image processing questions and solutions require a student to have a deep understanding of various aspects of digital image processing. A student needs to have basic definitions of all the terminologies used in the course, as well as a deep understanding of the concepts behind digital images.
It is also important to have a history of developments in the field in order to appreciate the recent developments in the field and the planned ones for the future. Sometimes getting solutions to digital image processing questions can be a tormenting task. That is why at Toppaperarchives.com we have professionals to provide you with solutions whenever you need to pay someone to do your image processing assignment.
Digital Image Processing Homework Solutions
Students taking courses that require image processing knowledge are often faced with tricky assignments and homework that need them to do thorough research. For such students, it is imperative that they find the right digital image processing homework solutions because their grades depend on it. Luckily, our resources have made it easier for students to find the right resources that can provide them with the right answers for the homework problems.
Just like many other computing courses, digital image processing topics can be daunting to a student who fails to capture the underlying concepts clearly. It is important to find the right resources for further understanding in this field. Our experts in the field can come in handy, especially in programming homework for money. To gain the required level of understanding of Image processing systems we can help you with the guidance you need to find the right resources.