Our paper addresses a question of prediction compression ratio in lossy compression of remote sensing images by coders based on discrete cosine transform ...
This paper considers some ways to predict compression ratio for the case of additive white Gaussian noise often used in literature. Compression techniques based ...
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Our paper addresses a question of prediction compression ratio in lossy compression of remote sensing images by coders based on discrete cosine transform ...
This paper addresses a question of prediction compression ratio in lossy compression of remote sensing images by coders based on discrete cosine transform ...
This paper considers some ways to predict compression ratio for the case of additive white Gaussian noise often used in literature. Compression techniques based ...
Mar 26, 2024 · We introduce an innovative signal-to-noise ratio (SNR) aware joint solution to improve the capability of lossy image compression for noisy ...
The transform-based compression could better reveal the relationship between achievable compression ratios and information loss, as low-frequency components ...
Aug 11, 2015 · It is shown that it is possible to predict values for both conventional metrics, such as mean square error or peak-signal-to-noise ratio, and ...
This paper deals with prediction of compression ratio (CR) in lossy compression of noisy remote sensing images using techniques based on discrete cosine ...
Jul 27, 2022 · Here we show that, by a simple and fast preliminary analysis and pre-training, it is possible to predict the OOPs existence and the metric values in it with ...