Multi-Description Image Compression Coding Algorithm Based on Depth Learning
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초록
Aiming at the poor compression quality of traditional image compression coding (ICC) algorithm, a multidescriptionICC algorithm based on depth learning is put forward in this study. In this study, first an imagecompression algorithm was designed based on multi-description coding theory. Image compression sampleswere collected, and the measurement matrix was calculated. Then, it processed the multi-description ICCsample set by using the convolutional self-coding neural system in depth learning. Compressing the waveletcoefficients after coding and synthesizing the multi-description image band sparse matrix obtained the multidescriptionICC sequence. Averaging the multi-description image coding data in accordance with the effectivesingle point’s position could finally realize the compression coding of multi-description images. According toexperimental results, the designed algorithm consumes less time for image compression, and exhibits betterimage compression quality and better image reconstruction effect.
Abstract
Aiming at the poor compression quality of traditional image compression coding (ICC) algorithm, a multidescriptionICC algorithm based on depth learning is put forward in this study. In this study, first an imagecompression algorithm was designed based on multi-description coding theory. Image compression sampleswere collected, and the measurement matrix was calculated. Then, it processed the multi-description ICCsample set by using the convolutional self-coding neural system in depth learning. Compressing the waveletcoefficients after coding and synthesizing the multi-description image band sparse matrix obtained the multidescriptionICC sequence. Averaging the multi-description image coding data in accordance with the effectivesingle point’s position could finally realize the compression coding of multi-description images. According toexperimental results, the designed algorithm consumes less time for image compression, and exhibits betterimage compression quality and better image reconstruction effect.
참고문헌 (11)
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