K., The JPEG still picture compression
Nitesh Kumar More et al presented a JPEG Picture Compression Using Discrete Cosine Transform.
Nitesh Kumar More and Sipi Dubey, JPEG Picture Compression Using Discrete Cosine Transform.
Wallace, "The JPEG still picture compression
standard," IEEE Transactions on Consumer Electronics, vol.
The JPEG Still Picture Compression
Standard, Communications of the ACM, ACM New York, NY, USA
They cover digital picture compression
and coding structure, vision modeling, coding artifacts and visual distortions, video quality testing, perceptual video quality metrics, the "philosophy of picture" quality scale, structural similarity based image quality assessment, vision model based impairment metrics, computational models, the no- reference quality metric for degraded and enhanced video, HVS based perpetual video encoders, perceptual image coding, foveated image and video coding, artifact reduction by post-processing in image compression, reduction of color bleeding in DCT block-coded video, error resilience for video coding service and critical issues and challenges.
So, supplementary technique of picture compression
would be approved out as explicitly JPEG technique and Entropy coding etc.
 G.K.Wallce, "The JPEG still picture compression
The JPEG Still Picture Compression Standard Advances over the past decade in many aspects of digital technology--especially devices for image acquisition, data storage, and bitmapped printing and display--have brought about many applications of digital imaging.
The international standardization of a still picture compression technique.