Currently, "Digital Image Processing" is utilizing by the wide range of application and in different types of electronics such as digital cameras, computers, mobile phones, etc. In fact, the image properties can be changed with the least investment such as contrast enhancement, intensity measurement, borders detection, and apply various mathematical functions to ensure the imagery. Although these methods are very influential, the consumer frequently controls images with the dump and understanding the fundamental values behind the effortless image processing routine is rare.
The method of Digital Image Processing is used to do some processes on the image such as image enhancement or to remove certain data from the image. It is one kind of signal processing where the input is a picture and output is the characteristics allied with the image.
Image processing involves modifications of images to get a more enhanced image or to add some characteristics to that certain image. In fact, it involves the capture of the image, modification and ultimately the output. The output can be modified, altered or include the enhanced feature of the same image. In that case, the output will improved clarity, highlight of image features, and specific alterations. Digital image processing uses computers to modify images while analog processing refers to the use of hard copies of images. As a matter of fact, the picture speaks a thousand words. A well-presented image has the power to affect the potential customer's emotions, introduce the positive features of a product. As a result, it increases business sales.
Therefore, this is why image processing is vital in ensuring the best presentation possible. It makes no sense to present images of products to buyers in an unattractive manner. The purpose of image presentation is not just for the sake of information, but for identification and attraction.
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