Low-resolution Image Processing based on FPGA

Mahshid Aghania · 2015

Today, development of different methods such as scanners and digital cameras for receiving discrete data has led to high application of image processing. Images resulted from the discrete data have some noise and the distance among samples within the image might seem blur and it decreases the resolution of image. Image processing refers to a set of operations and methods used to decrease disadvantages and increase visual quality of the image. The issue of evaluating quality of images is one of the most common issues related to image processing algorithms. Resolution recognition is a criterion for the image acceptability; it also declares efficiency and acceptability of many of the algorithms associated with the image. The present paper intends to study low- resolution image processing based on FPGA.

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