CVJun 4, 2022

Study on Image Filtering -- Techniques, Algorithm and Applications

arXiv:2207.06481v14 citationsh-index: 11
Originality Synthesis-oriented
AI Analysis

It provides a review of image filtering methods for researchers and practitioners, but is incremental as it does not introduce novel contributions.

The paper surveys existing image filtering techniques and their applications, without presenting new results or concrete numbers.

Image processing is one of the most immerging and widely growing techniques making it a lively research field. Image processing is converting an image to a digital format and then doing different operations on it, such as improving the image or extracting various valuable data. Image filtering is one of the fascinating applications of image processing. Image filtering is a technique for altering the size, shape, color, depth, smoothness, and other image properties. It alters the pixels of the image to transform it into the desired form using different types of graphical editing methods through graphic design and editing software. This paper introduces various image filtering techniques and their wide applications.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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