Elastic Downsampling: An Adaptive Downsampling Technique to Preserve Image Quality
| Autor: | Francisco Jose Juan Quintanilla, Jose J. García Aranda, Gabriel Caffarena, Rodrigo García-Carmona, Manuel Alarcón Granero |
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| Rok vydání: | 2021 |
| Předmět: |
real-time video
Computer Networks and Communications Image quality Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION lcsh:TK7800-8360 02 engineering and technology linear procedure Upsampling Sampling (signal processing) 0202 electrical engineering electronic engineering information engineering image quality Codec perceptual relevance Computer vision Electrical and Electronic Engineering image coding Block (data storage) business.industry lcsh:Electronics 020207 software engineering low-power devices image compression spatial compression Hardware and Architecture Control and Systems Engineering Signal Processing Metric (mathematics) codec 020201 artificial intelligence & image processing Artificial intelligence business downsampling Image compression |
| Zdroj: | Electronics, Vol 10, Iss 400, p 400 (2021) Electronics Volume 10 Issue 4 |
| ISSN: | 2079-9292 |
| DOI: | 10.3390/electronics10040400 |
| Popis: | This paper presents a new adaptive downsampling technique called elastic downsampling, which enables high compression rates while preserving the image quality. Adaptive downsampling techniques are based on the idea that image tiles can use different sampling rates depending on the amount of information conveyed by each block. However, current approaches suffer from blocking effects and artifacts that hinder the user experience. To bridge this gap, elastic downsampling relies on a Perceptual Relevance analysis that assigns sampling rates to the corners of blocks. The novel metric used for this analysis is based on the luminance fluctuations of an image region. This allows a gradual transition of the sampling rate within tiles, both horizontally and vertically. As a result, the block artifacts are removed and fine details are preserved. Experimental results (using the Kodak and USC Miscelanea image datasets) show a PSNR improvement of up to 15 dB and a superior SSIM (Structural Similarity) when compared with other techniques. More importantly, the algorithms involved are computationally cheap, so it is feasible to implement them in low-cost devices. The proposed technique has been successfully implemented using graphics processors (GPU) and low-power embedded systems (Raspberry Pi) as target platforms. |
| Databáze: | OpenAIRE |
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