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Mini Chapters | Computer Science and Information Technology | India | Volume 12 Issue 5, May 2023
Restoration of Human Face using Basic Image Processing Methods in MATLAB
Setti Vidya Sagar Appaji | Dharavathu Radha | U. Padma Mohan
Abstract: Images play a very pivotal role in our daily routine. A simple image will represent thousand words. So we can represent any information in the form of Images. But for representing of real world applications in the form of images there exists many constraints like memory, processing, efficiency, throughput etc., also when the complexity of an application increases, then processing of images will become a cumbersome task. There are many Image Processing Operations in existence, depending on the application we can use one or more operations. So I would like to enlighten the readers on various basic operations on images like Stitching, Mosaicing, Fusion, Contrast Adjustment, Edge Detection, Image Cropping, Image Sharpening and Image Blurring. But I would like to get into detail only on three operations - Image Stitching, Image Blurring and Image Edge Detection. The basic operations that are stated will have their own merits and demerits, but based on the requirement they will be implemented. Some operations discussed above may be implemented using Hybrid approach where two or more basic operations are merged to form a new approach. It was also discussed when the size of image increases then the operations stated may not give efficient results. So a comparative study was also made to overcome this issue. It was also discussed when the images are more in number and they need to be operated as a single image then there will be definitely time delay for getting an efficient result. Some images may be embedded with watermark or some may not be completely restored at a single instance, then we need to apply some transformation techniques to reconstruct the image and restore the original image or approximation of the original image to the level extent possible. Many open source tools are available to perform such operations and reconstruct the original image, but this needs to have a clear study on the operations and how to place the input and output parameters. In the real world scenarios in which a huge amount of database of images are available, then searching only is the constraint that will be there for the user. Once the images are selected and operations are applied on it, then the result actually simplifies the complete process of Reconstruction. We can also extend our discussion based on this study to a level where we can restrict to a Specific design of selecting and manipulating images automatically without any intervention of a user or an administrator.
Keywords: Fusion, Stitching, Blurring, Image Processing, Edge Detection, MATLAB
Edition: Volume 12 Issue 5, May 2023,
Pages: 1617 - 1620