What is Digital Image Processing and Applications of DIP

Digital Image Processing (DIP): Concepts in Digital Image Processing

Digital image processing is a field that is gaining popularity and priority. The process it follows is something worth looking into. It uses computer algorithms to manipulate and analyse digital images. It is significant to take cognizance of this topic. This article will unlock the various facets of this topic, adding to our degree of knowledge and excellence as far as this topic is concerned. We need to know its benefits and disadvantages. This article will serve this purpose effectively. Kindly share your views in the comment section related to this article.

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There is a great need to have accurate image analysis. This field can turn out to be a game changer, as it encompasses medicine, entertainment, security, and astronomy, etc. We must look into the various applications of digital image processing as well as how it is going to shape up in the future. On careful scrutiny of this topic, it will become clear that digital image processing is more about using computer algorithms in order to perform operations associated with digital images, like image analysis, image restoration, image compression, etc. Straightaway, we can extract plenty of benefits since it improves the quality of images. Not only this, but it also helps to recognize objects in images and extract useful information.

Digital Image Processing (DIP): Some Important Benefits of DIP

What is Image Enhancement? 

Digital image processing is highly useful for enhancing image quality.  It also contributes to rectifying defects and improving the contrast. So it has a lot of benefits worth considering.

What is Image Analysis?

Image analysis is all about obtaining information from images, including object recognition and image classification.

What is Image Compression?

Digital image processing can be used to compress images for the reduction of size, which in turn helps to store and transmit.

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Medical applications of digital image processing have a substantial role in terms of treatment planning and medical diagnosis. Furthermore, we must state the fact that digital image processing has an important contribution in surveillance as well as biometric identification. Be it image enhancement, image analysis, image compression, medical and security applications, we see a strong influence of digital image processing, and it is extending its reach being an evolving field.  It is going from strength to strength all the time.

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Since we have seen the reach of digital image processing, we must also incorporate the shortcomings of it as well. Digital image processing needs a computationally intensive approach, but for this, immense processing power and memory are necessary. Remember, lighting conditions, camera settings can also be reasons for the degradation of quality of image quality to some extent. Image quality may be hampered because of artifacts and even noise. This can negatively impact image analysis, too.  Another weakness revolves around the fact that digital images may be exposed to manipulation. We may see further extension of this field and may engulf deep learning, image compression, and multimodal image processing. So it is ever expanding and likely to incorporate more.

Conclusion

This article has gone on to establish the significance of digital image processing. It has its pros and cons. It is evolving and breaking all barriers and reaching out to other fields, and is capable of chipping in productively. In the future, it will become even more productive. It will be applied across plenty of other fields. 

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