딥 러닝 기반의 이미지 압축 알고리즘에 관한 연구

Study on Image Compression Algorithm with Deep Learning

  • 이용환 (원광대학교 디지털콘텐츠공학과)
  • 투고 : 2022.12.12
  • 심사 : 2022.12.16
  • 발행 : 2022.12.31

초록

Image compression plays an important role in encoding and improving various forms of images in the digital era. Recent researches have focused on the principle of deep learning as one of the most exciting machine learning methods to show that it is good scheme to analyze, classify and compress images. Various neural networks are able to adapt for image compressions, such as deep neural networks, artificial neural networks, recurrent neural networks and convolution neural networks. In this review paper, we discussed how to apply the rule of deep learning to obtain better image compression with high accuracy, low loss-ness and high visibility of the image. For those results in performance, deep learning methods are required on justified manner with distinct analysis.

키워드

과제정보

본 연구는 2022년도 정부(미래창조과학부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(과제번호: 2021R1A2C1012947).

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