There has been significant advances in the field of image and video processing over the past few decades. The term "image processing" is used to describe multiple signal-processing methodologies where images (such as video or picture frames) serves as the input, resulting to another image or a collection of image-related parameters or features. The majority of methodologies to image processing include reducing the picture to a two-dimensional signal and processing it in the same way as any other signal. The term "video processing" on the other hand is used to describe a particular type of signal processing where video files or video streams are utilized as output or input signals. Video recorders, televisions, video codecs, digital versatile, disc players, and other devices all utilize video processing algorithms. This paper provides a survey of the components of Digital Image Processing (DIP) as well as the recent developments in Image Processing technology and DIP applications.
Keywords
Digital Image Processing (DIP), Medical Image Processing (MIP), Non-Photorealistic Rendering (NPR).
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Hugo Pagella Aguero
Hugo Pagella Aguero
Bachelor in Medicine, University of Salvdor, Argentina.
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Hugo Pagella Aguero, “Review of the Current Technologies and Applications of Digital Image Processing”, Journal of Biomedical and Sustainable Healthcare Applications, vol.2, no.2, pp. 148-158, July 2022. doi: 10.53759/0088/JBSHA202202016.
