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Handling digital images is almost always accompanied by a lossy compression in order to facilitate efficient transmission and storage.
Optimum dct quantization
Monro, D.M., Sherlock, B.G.: · 1993
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Rate-constrained picture-adaptive quantization for jpeg baseline coders
Wu, S.W., Gersho, A.: · 1993
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Dct quantization matrices visually optimized for individual images
Watson, A.B.: · 1993
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Jpeg compliant encoder utilizing perceptually based quantization
Safranek, R.J.: · 1994
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Rd-opt: An efficient algorithm for optimizing dct quantization tables
Ratnakar, V., Livny, M.: · 1995
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Design of image-adaptive quantization tables for jpeg
Fung, H.T., Parker, K.J.: · 1995
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Designing jpeg quantization matrix using rate-distortion approach and human visual system model
Fong, W., Chan, S.C., Ho, K.L.: · 1997
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Optimization of quantization table based on visual characteristics in dct image coding
Shohdohji, T., Hoshino, Y., Kutsuwada, N.: · 1999
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Designing jpeg quantization tables based on human visual system
Wang, C.Y., Lee, S.M., Chang, L.W.: · 2001
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A steganographic method based upon jpeg and quantization table modification
Chang, C.C., Chen, T.S., Chung, L.Z.: · 2002
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Identification of the best quantization table using genetic algorithms
Costa, L.F., Veiga, A.C.P.: · 2005
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Digital image ballistics from jpeg quantization
Farid, H.: · 2006
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Jpeg quantization table design for face images and its application to face recognition
Jeong, G.M., Kim, C., Ahn, H.S., Ahn, B.J.: · 2006
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Joint optimization of run-length coding, huffman coding, and quantization table with complete baseline jpeg decoder compatibility
Yang, E.h., Wang, L.: · 2008
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Evolutionary optimization of jpeg quantization tables for compressing iris polar images in iris recognition systems
Konrad, M., Stogner, H., Uhl, A.: · 2009
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Jpeg image compression using quantization table optimization based on perceptual image quality assessment
Jiang, Y., Pattichis, M.S.: · 2011
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Elements of information theory
Cover, T.M., Thomas, J.A.: · 2012
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Optimizing jpeg quantization table for low bit rate mobile visual search
Duan, L.Y., Liu, X., Chen, J., Huang, T., Gao, W.: · 2012
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Gradient preserving quantization
Makar, M., Lakshman, H., Chandrasekhar, V., Girod, B.: · 2012
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On the design of a novel jpeg quantization table for improved feature detection performance
Chao, J., Chen, H., Steinbach, E.: · 2013
End-to-end optimized image compression
Ballé, J., Laparra, V., Simoncelli, E.P.: · 2017
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Deepn-jpeg: a deep neural network favorable jpeg-based image compression framework
Liu, Z., Liu, T., Wen, W., Jiang, L., Xu, J., Wang, Y., Quan, G.: · 2018
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Variational image compression with a scale hyperprior
Ballé, J., Minnen, D., Singh, S., Hwang, S.J., Johnston, N.: · 2018
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Tensorflow compression. (2018) https://github.com/tensorflow/compression
Johannes Ballé, Sung Jin Hwang, N.J.D.M.: · 2018
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libjpeg-turbo library (2018) https://libjpeg-turbo.org/
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Sjpeg library (2018) https://github.com/webmproject/sjpeg
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Cited alongside, same era.
Imagenet large scale visual recognition challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: · 2015
Cited alongside, same era.
Just-noticeable difference-based perceptual optimization for jpeg compression
Zhang, X., Wang, S., Gu, K., Lin, W., Ma, S., Gao, W.: · 2016
Cited alongside, same era.
Identity mappings in deep residual networks
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
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Perceptual losses for real-time style transfer and super-resolution
Johnson, J., Alahi, A., Fei-Fei, L.: · 2016
Cited alongside, same era.
Jpeg quantization table optimization by guided fireworks algorithm
Tuba, E., Tuba, M., Simian, D., Jovanovic, R.: · 2017
Cited alongside, same era.
Simulated annealing for jpeg quantization
Hopkins, M., Mitzenmacher, M., Wagner-Carena, S.: · 2017
Cited alongside, same era.
Massimino, P.: · 2018
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Searching for mobilenetv3
Howard, A., Sandler, M., Chu, G., Chen, L.C., Chen, B., Tan, M., Wang, W., Zhu, Y., Pang, R., Vasudevan, V., et al.: · 2019
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Quannet: Joint image compression and classification over channels with limited bandwidth
Chamain, L.D., Cheung, S.c.S., Ding, Z.: · 2019
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Faster and accurate classification for jpeg2000 compressed images in networked applications
Chamain, L.D., Ding, Z.: · 2019
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Transferable recognition-aware image processing
Liu, Z., Zhou, T., Shen, Z., Kang, B., Darrell, T.: · 2019
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Image pre-transformation for recognition-aware image compression
Suzuki, S., Takagi, M., Hayase, K., Onishi, T., Shimizu, A.: · 2019
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Optimizing jpeg quantization for classification networks
Li, Z., De Sa, C., Sampson, A.: · 2020
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Better compression with deep pre-editing
Talebi, H., Kelly, D., Luo, X., Dorado, I.G., Yang, F., Milanfar, P., Elad, M.: · 2020
Closest in time.