A Review of Digital Image Processing Techniques and Future Prospects

Chenxi Liu

doi:10.62051/ijcsit.v4n3.22

Authors

Chenxi Liu

DOI:

https://doi.org/10.62051/ijcsit.v4n3.22

Keywords:

Digital image processing, Deep learning, Image denoising, Parallel computing, Image recognition

Abstract

With the rapid development of computer vision and image processing technology, digital image processing has become a hot spot of computer science research. Based on the research background of digital image processing technology, this paper comprehensively combs through the relevant theories, core technologies and industry applications. By analysing the academic papers and technical reports in recent years, the research results and development trends in the field of image processing are summarized. The steps of digital image processing such as preprocessing, enhancement, recovery, segmentation, representation description and recognition are discussed, and the advantages and disadvantages of the existing algorithms and their application effects in image quality improvement and information extraction are evaluated. For example, the performance of Wavelet transforms and deep learning in image denoising is compared, pointing out the advantages of deep learning in dealing with high noise images. The processing results were quantitatively analysed using international standard image libraries and PSNR and SSIM metrics, yielding reliable experimental results. The article also discusses the application of parallel computing in processing large-scale image data, and the improvement of computational efficiency by GPU acceleration and distributed architecture. Combined with new advances in artificial intelligence and machine learning, it looks at future trends in digital image processing, including the application of deep learning in image analysis, 3D reconstruction, and virtual and augmented reality. The article points out that with the support of a large amount of data and high-performance computing, digital image processing technology is expected to promote a new round of technological revolution, especially in the fields of intelligent manufacturing, telemedicine and automated driving, which have broad application prospects and important social significance.

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