Image deblocking algorithm based on GC and SSR
Author:
Funder
National Nature Science Foundation of China
Department of Education of Jilin Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-024-03309-2.pdf
Reference43 articles.
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2. Foi, A., Katkovnik, V., Egiazarian, K.: Pointwise shape-adaptive DCT for high-quality denoising and deblocking of grayscale and color images. IEEE Trans. Image Process. 16(5), 1395–1411 (2007)
3. Zhai, G.T., Zhang, W.J., Yang, X.K., Lin, W.S., Xu, Y.: Efficient deblocking with coefficient regularization, shape-adaptive filtering, and quantization constraint. IEEE Trans. Multi. 10(5), 735–745 (2008)
4. Kim, J.: Adaptive blocking artifact reduction using wavelet-based block analysis. IEEE Trans. Consum. Electron. 55(2), 933–940 (2009)
5. Nath, V. K., Hazarika, D.: Blocking artifacts suppression in Wavelet transform domain using local Wiener filtering. In: the 3rd National Conference on Emerging Trends and Applications in Computer Science. pp. 93–97 (2012)
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