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Study on image encoding considered focus area of still image

Kaiya Shimura et al · Society for Science and Technology · 2023

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The fundamental objective of image encoding is to transfer the image at high speed and transmit the image contents clearly. It is essential to reduce the use of memory capacity in the study on high speed transmission of images. However, the transfer time is determined by the total time of the following items: namely, encoding time, transfer time, and time to return to original image. Therefore, the investigation of high speed processing for encoding is also important. A consideration on image encoding is examined in this study, in which notable parts in a still image can be easily identified. The encoding process of an image, in which the notable parts are considered, is proposed specifically in this study, and a smoothing process is also proposed to decrease the image size and processing time so as not to degrade the image quality with the naked eye as much as possible. Moreover, this study proposes to increase the quality for high complexity images and degrade the quality for low image quality. Objects are extracted from the original image in the image encoding considering the notable parts and the original image is processed to understand easily using ‘outputting still image.’ And, the effectiveness of the proposed method is made clear by conducting comparative experiments with related other image encoding methods.

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APA 7

al, K. S. E. (2023). Study on image encoding considered focus area of still image. https://doi.org/10.11425/sst.12.101

MLA

al, Kaiya Shimura et. "Study on image encoding considered focus area of still image." 2023. https://doi.org/10.11425/sst.12.101.

Chicago

al, Kaiya Shimura et. 2023. "Study on image encoding considered focus area of still image.". https://doi.org/10.11425/sst.12.101.

Harvard

al, K. S. E. 2023, Study on image encoding considered focus area of still image, Society for Science and Technology, available at: https://doi.org/10.11425/sst.12.101 [Accessed 10 Aug. 2026].

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Title
Study on image encoding considered focus area of still image
Author / contributors
Kaiya Shimura et al
Publisher
Society for Science and Technology
Publication year
2023
ISSN
2186-4942
ISSN
2186-4942
Language
English
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