Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: SPIHT is an efficient image compression algorithm based on zerotrees. The significant wavelet coefficients are located by a series of set partitioning operations and then scalar quantized. Block-based algorithms inspired by SPIHT such as AGP and SWEET have good performance, but they are not embedded. Pearlman et al. proposed a block-based SPECK algorithm using set partitioning of embedded blocks to exploit the energy clustering characteristics of the coefficients while the bit stream remains embedded.  here propose a variation on SPECK using vector quantization to code the significant coefficients. Different VQ techniques including TSVQ and ECVQ are also considered. Vector SPECK shows a performance improvement over JPEG 2000 at the cost of added complexity
['Chih-Chien Chao', 'Robert M. Gray']
I am writing a research paper on a idea Image Compression with a Vector Speck Algorithm
[{"from": "human", "value": "I am writing a research paper on a idea Image Compression with a Vector Speck Algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: SPIHT is an efficient image compression algorithm based on zerotrees. The significant wavelet coefficients are located by a series of set partitioning operations and then scalar quantized. Block-based algorithms inspired by SPIHT such as AGP and SWEET have good performance, but they are not embedded. Pearlman et al. proposed a block-based SPECK algorithm using set partitioning of embedded blocks to exploit the energy clustering characteristics of the coefficients while the bit stream remains embedded.  here propose a variation on SPECK using vector quantization to code the significant coefficients. Different VQ techniques including TSVQ and ECVQ are also considered. Vector SPECK shows a performance improvement over JPEG 2000 at the cost of added complexity"}]