Image Enhancement Based on Discrete Cosine Transforms (DCT) and Discrete Wavelet Transform (DWT): A Review

1st International Conference on Mechanical Electronic and Biosystem Engineering

Azani Mustafa, Wan^1 ; Yazid, Haniza^2 ; Khairunizam, Wan^2 ; Aminuddin Jamlos, Mohd^1 ; Zunaidi, I.^3 ; Razlan, Z.M.^2 ; Shahriman, A.B.^2

Faculty of Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, Padang Besar, Perlis

02100, Malaysia^1

Advanced Intelligent Computing and Sustainability (AICoS) Research Group, School of Mechatronics Engineering, Universiti Malaysia Perlis, Arau

02600, Malaysia^2

Faculty of Technology, University of Sunderland, St Peter's Campus, SR6 0DD, Sunderland, United Kingdom^3

关键词: Computer vision algorithms;    Discrete Cosine Transform(DCT);    Edge sharpness;    Image properties;    Memory usage;    Visual qualities;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/557/1/012027/pdf
DOI  :  10.1088/1757-899X/557/1/012027

来源: IOP

【 摘 要 】

Image enhancement is an important topic in image analysis in order to help humans and computer vision algorithms to obtain an accuracy information for analysis. The visual quality and certain image properties, such as brightness, contrast, signal to noise ratio, resolution, edge sharpness, and colour accuracy were improved through the enhancement process. The goal of image enhancement is to improve the quality of an image to become more suitable for a particular application. Till today, numerous image enhancement methods have been proposed for various applications and efforts have been directed to further increase the quality of the enhancement results and minimize the computational complexity and memory usage. In this paper, an image enhancement method based on Discrete Cosine Transforms (DCT) and Discrete Wavelet Transform (DWT) was studied. This paper presents an exhaustive review of these studies and suggests a direction for future developments of image enhancement methods. Each method shows the owned advantages and drawbacks. In future, this work will give the direction to other researchers in order to propose new advanced enhancement techniques.