08-16-2017, 10:15 PM
Resizing image using bilinear interpolation algorithm in MATLAB
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INTRODUCTION
Our project is titled Resizing image by using bilinear interpolation algorithm in MATLAB. In this project we used some principle elements to create MATLAB Graphical User Interface. We choose this project because we faced some problems when we tried to resize images by some other programs. The problem faced was losing of pixels in the original image, thereby degrading the picture quality.
The main reason GUIs are used is because it makes things simple for the end-users of the program. If GUIs were not used, people would have to work from the command line interface, which can be extremely difficult and frustrating. Imagine if you had to input text commands to operate your web browser (yes, your web browser is a GUI too!). It wouldn t be very practical would it? So, in this project we will create a simple GUI that will make resizing of image easier.
INTRODUCTION TO MATLAB, version 7.9
MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using MATLAB, we can solve technical computing problems faster than with traditional programming languages, such as C, C++, and FORTRAN.
What is an image?
It is an optical counterpart or appearance of an object, as is produced by reflection from a mirror, refraction by a lens, or the passage of luminous rays through a small aperture and their reception on a surface. Also, it can be physical likeness or representation of a person, animal, or thing, photographed, painted, sculptured, or otherwise made visible.
What is image resizing?
Image compression or resize is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. It also reduces the time required for images to be sent over the Internet or downloaded from Web pages .Image expansion maximizing the size in bytes of a graphic file without degrading the quality of the image to an unacceptable level.