What is Image Processing?
Image processing is an approach to transform an image into digital kind and carry out some operations on it, in order to get an improved image or to draw out some beneficial details from it. It is a kind of signal dispensation where input is image, like video frame or picture and output might be image or qualities related to that image. Generally Image Processing system consists of dealing with images as 2 dimensional signals while using currently set signal processing approaches to them. It is amongst quickly growing innovations today, with its applications in different elements of a company. Image Processing kinds core research study location within engineering and computer technology disciplines too.
Functions of Image processing in Assignments
The function of image processing is divided into 5 groups. They are:
- Visualization - Observe the items that are not noticeable.
- Image honing and remediation - To develop a much better image.
- Image retrieval - Seek for the image of interest.
- Measurement of pattern-- Measures numerous things in an image.
- Image Recognition-- Distinguish the items in an image.
Image processing Assignment Help
The two basic reasons why image processing is taken in use is either to improve the picture in such a way that humans are able to extract more amount of information from it or to make it better to store and transmit in the form of data. to study the same, first, we should have a brief introduction about an image. An image can be defined as a function with degree two where each degree represents a dimension of the image and a function which will provide the image with its actual characteristics. These small elements whose value is changed by the function are known as the pixels of the image and they when coming in large numbers and with different values form the complete image which us humans can interpret.
The basic flowchart of an image processing task can be divided into two parts, that are low-level processes and high-level processes. Low-level processes are the ones which are performed as soon as the image is received and is to be sent further for high-level processes, it is kind of a preparation that is being done so that the complex processes can be applied on the same. These processes include some like reduction of noise with the help of finite difference filter or blurring an image to make it much softer are some of the low-level processes. The final level or the high-level processes involve more of an analytical thinking process that is when we draw out a conclusion from an already worked out image make some sense out of the work done like object recognition or facial recognition system. The main aim of writing this article is to provide the reader with an easy and understandable sense about the field of digital image processing ranging from its origin to some of the very advanced applications.
Image processing Origin:
The first use of digital image processing can be dated back to the 1920’s when they were first used in the newspaper industry in New York. During that time a picture had to be sent using a submarine cable and then is when the idea of processing ht image before sending came to the minds of people and astonishingly the time for transmitting the image and receiving it reduced from over a week to less than 3 hours. Some of the other problems that the people during that time faced were in the printing industry when the intensity of the colour used for printing could not be set due to the processes and hence they used a method in which the images were given only 5 shed of grey which made printing images much more pocket friendly and increased the contrast to whole new level.
Image enhancement in the Spatial domain:
For the basic understanding of this topic, we need to first know what is the spatial domain, it is the basic space of the image with correlation to the corresponding function of the image in any space. The basic purpose of any enhancement in the field of digital image processing is to make an image a better version of itself for the specific field it will be used in for eg. when an image is treated to be used for an application A will not give the best results for an application B and hence the enhancement processes for different applications are different making this field of image processing really vast and is hence growing at a very fast rate.
Fourier transforms and image processing
Fourier transform is a critically important topic in this area for image segmentation because it helps us segregate an image in its sine and cosine transforms and hence making the frequency of the image more readable. Fourier transform and series were invented by a French mathematician Jean-Baptiste Joseph Fourier which helped in finding the change in an image and used to convert it into its sine and cosine transforms and hence made applying various features to the image very easy.
The concept of Wavelets
Since some of the major developments in the field of image processing, it has been really easy to enhance an image according to the specific needs but since the discovery of wavelet transformation, enhancing and analysis of images has become even easier because it is different from the basic concept of Fourier transform because in Fourier transform, the image was segregated into its sine and cosine transform whereas, in wavelet transform, an image is divided into small waves like things which are also known as wavelets.
Image Processing using MATLAB
Image Processing, or Visual Information Processing, is a branch of Computer Science and Electrical Engineering. It deals with the analysis and enhancement of the information provided by graphic images, based on their acquisition model. Based on the acquisition model, the student is to define suitable parameters and thereby construe the required algorithm. At such times, students may find the process an uphill task while taking up projects.
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