An Image Enhancement Algorithm Based on Fractional-Order Phase Stretch Transform and Relative Total Variation.

Wei Wang,Qiming Wang,Pengfei Xu,Ying Jia,Maciej Lawrynczuk

doi:10.1155/2021/8818331

Wei Wang, Qiming Wang + Show 3 more

Open Access

https://doi.org/10.1155/2021/8818331

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Abstract

The main purpose of image enhancement technology is to improve the quality of the image to better assist those activities of daily life that are widely dependent on it like healthcare, industries, education, and surveillance. Due to the influence of complex environments, there are risks of insufficient detail and low contrast in some images. Existing enhancement algorithms are prone to overexposure and improper detail processing. This paper attempts to improve the treatment effect of Phase Stretch Transform (PST) on the information of low and medium frequencies. For this purpose, an image enhancement algorithm on the basis of fractional-order PST and relative total variation (FOPSTRTV) is developed to address the task. In this algorithm, the noise in the original image is removed by low-pass filtering, the edges of images are extracted by fractional-order PST, and then the images are fused with extracted edges through RTV. Finally, extensive experiments were used to verify the effect of the proposed algorithm with different datasets.

Highlights

Image sharpening means enhancing, that is, highlighting edges and texture features, while suppressing those unimportant planner areas, planner areas, and parts with constant grey levels
The original image is fused with enhanced edge and texture images to ensure a smooth transition between its grey levels. erefore, in the enhanced image, the edges and key textures are highlighted, and other areas are sharpened
Literature [2] proposed an algorithm to enhance the adaptive image based on a double histogram equation, which has to keep the average brightness of the output image close to the original image and avoid the tendency to magnify

Summary

Introduction

That is, highlighting edges and texture features, while suppressing those unimportant planner areas, planner areas, and parts with constant grey levels. Erefore, the combination of the two methods can improve the overall visual effect of the image and better highlight the details of the image. An adaptive smoothing and enhancement method for images was proposed in [9]; when filtering, the filter weights of the processed pixels are dynamically determined; after smoothing the inside of the image region, the edge of the region in the image is sharpened and enhanced, which effectively solves the contradiction between image smoothing and enhancement. E above literature all involves the image enhancement algorithms based on time domain and frequency domain variation It has been rarely found in domestic and foreign literature about the image enhancement for phase information changes. Jalali proposed a digital image transformation inspired by physical phenomena, called Phase Stretch Transform (PST). is paper attempts to improve the treatment effect of the PST on the information of low and medium frequency

Relate Work

Fractional Order

Fractional-Order-Based PST

Comparison of Test Results