I am working on image compression .....it will be useful....for my work...
I think that the most widely used are:
- Vector Quantization Technique.
- Discrete Wavelet Transform (DWT).
- Neural Network.
You may have a look at these:
- http://link.springer.com/chapter/10.1007%2F978-3-319-01622-1_28
- http://www.ijircce.com/upload/2013/march/3_A%20Vector%20Quantization.pdf
- http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.137.3043&rep=rep1&type=pdf
I would suggest you look at adaptive quantization also. You can look at compression depending on its own information (i.e within frame ) or based on temporal dependency (used in video processing- when 2K/4K TVs are in the market).
you can compare quantization methods used in modern compression techniques:
https://www.researchgate.net/publication/257815643_Performance_Analysis_of_Visually_Lossless_Image_Compression
Conference Paper Performance Analysis of Visually Lossless Image Compression
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