New Proposed Filter With Boundary Function For Image Restoration Process

Murni Illiana , Asan (2011) New Proposed Filter With Boundary Function For Image Restoration Process. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

New proposed filter for image restoration process system is to find the best filter for image restoration. There are a lot of filters out there that has been applied to do image restoration, but each of them has their own drawbacks and need to be improvised. For this project, I choose Averaging filter algorithm to be modified. Averaging filter is the filter that can restore an image but gives the result with blurry edge. It's also makes noise become spread too larger than before. Thus, I have an idea to overcome this matter. The Proposed filter is used the same algorithm like Averaging filter but had been modified with boundary function to make the resulted image become more sharpen and excellent in removing noise. It is also perhaps can give the best performing in time consumed to process image compared to others. The first chapter is describing the idea of this project. It is the introduction of the whole system. The second chapter is literature review. This chapter describes all the revision from all kinds of possible sources. In this chapter, all the literature must be put with citation to be documented. The third chapter is analysis phase. The analysis describes the information details about the system. Analysis phase is a very crucial part of gaining and gather information. After analysis, it is the design phase. At here, all the modification needs to do is identified. Drafting of the system and modification of the coding is done here. Next part is implementation phase. At this phase, all the modification and drafting done in design phase will be implemented into the system. The purpose is to make sure that there is no error while running them. While there is no error at implementation phase, the testing phase needs to be done. At this phase, the system needs to be testing with all possible data. It must be done by ourselves and somebody else at least two persons. For this system, the testing is conducted by testing the system with all formats of image, try and error with degraded image and fine image. Then, the results of the testing are analyzed and will be concluded at project conclusion part. As a conclusion, the system will be scaled whether it is good, moderate or poor based on the testing phase results.

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