Categories of Digital Image Process|Course hero helper

Posted: February 18th, 2023

Topic: Categories of Digital Imaging


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Digital Image Process

By: Temeika Williams











Categories of Digital Image Process


Regulatory Issues











Digital processing is almost used in all image interpretation and analysis in the modern world, where most remote sensing data are stored digitally (Ekstrom, 2012). Digital imaging and its processes are used in a wide range of fields; such as, space, industrial automation, satellites, and video surveillance are the major fields. The data must be available in digital format and recorded for it to be suitable for storage on a computer disk for remote sensing imagery to be processed digitally.






Categories of Digital Image Process

1.Image Enhancement

2. Image Restoration

3. Image Segmentation

4. Image Recognition

5. Image Compression

6. Image Generation

7. Image Transformation






Category 1: Image Enhancement

This involves adjusting the visual quality of an image, such as adjusting brightness, contrast, sharpness, and smoothing.









Category 2: Image Restoration

This involves removing artifacts or noise from an image, such as blurring, speckle, and dust and scratches









Category 3: Image Segmentation

This involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of the image









Category 4: Image Recognition

This involves identifying objects, people, and patterns in an image, and classifying them into different categories









Category 5: Image Compression

This involves reducing the size of an image while preserving its visual quality as much as possible









Category 6: Image Generation

This involves creating new images based on existing images or synthesizing new images from scratch using algorithms









Category 7: Image Transformation

This involves changing the appearance or shape of an image, such as rotating, resizing, or warping an image









Regulatory Issues

Privacy: Digital images often contain personal information, and there are concerns about how the information is collected, stored, and used.

Intellectual Property: Digital images can be protected by copyright and trademark laws

Accuracy: Digital Images can be manipulated or altered, and that raises red flags in the accuracy when it comes to scientific research, journalism, and other applications

Security: Digital Images can be vulnerable to hacking, theft, and other cybercrimes and then concerns arise about the security of sensitive images, such as military imagery or medical images

Bias and Discrimination: Digital Images can be used to train machine learning algorithms, which arises concerns in the training data and the resulting models.










Many companies are involved in digital image processing, ranging from small start ups to large multinational corporations.

Google: technology company that specializes in search, advertising, and artificial intelligence. Several digital image processing products for example google photos

Adobe: multinational company that specializes in multimedia and creativity software including photo editing and graphic design software such as Photoshop

NVIDA: technology company that specializes in high performance graphics processing units (GPU) and computer vision althorithms. It is used in machine learning,and computer vision










It is the digital manipulation of images by considering of the many different factors. Pixels and image elements are a couple of names for these components. The dots and squares that make up the pixel would be the sample unit of the image. Each pixel is represented by the RGB parameters.







Ekstrom, M. P. (2012). Digital image processing techniques. Academic Press.

Furht, B., Akar, E., & Andrews, W. A. (2018). Digital image processing: Practical approach. Springer.

Gonzalez, R. C., & Woods, R. E. (2018). Digital image processing.

Umbaugh, S. E. (2022). Digital image processing and visual perception. Digital Image Processing and Analysis, 87-125.






Thank you

Temeika Williams


Digital processing of images involves the use of computer algorithms and software to manipulate and analyze digital images. It is a vital tool in many fields, including remote sensing, medical imaging, computer vision, and multimedia applications.

One of the key advantages of digital processing is that it allows for the extraction of useful information from complex data sets. For example, in remote sensing, digital processing can be used to identify and classify land cover types, detect changes in vegetation, and monitor the health of ecosystems. In medical imaging, digital processing can be used to enhance images, segment organs or tissues, and detect abnormalities or diseases.

Digital processing can also be used to improve the quality of images by removing noise, correcting distortions, and enhancing contrast. This can be particularly useful in applications such as video surveillance, where clear and accurate images are essential for security purposes.

Overall, digital processing has revolutionized the way we interpret and analyze images, and its applications continue to expand across many different fields.

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