Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A novel digital image compression technique using classified vector quantiser and adaptive transform coding is presented for the efficient representation of still images. Each sub-image is classified into one of five classes based on its directional variances, then adaptively transformed. The transformed sub-image is then vector quantised. The simulation results shod improvements in the peak signal to noise ratio at the expense of increased computational complexity. The improvements in the quality of the compressed images outigh the computational complexity of the model.
['Abir Hussain', 'Dhiya Al-Jumeily', 'Paulo J. G. Lisboa']
I am writing a research paper on a idea Adaptive Classified Vector Quantisation of Non-orthogonal Representations of Images and its Application to Image Compression
[{"from": "human", "value": "I am writing a research paper on a idea Adaptive Classified Vector Quantisation of Non-orthogonal Representations of Images and its Application to Image Compression"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A novel digital image compression technique using classified vector quantiser and adaptive transform coding is presented for the efficient representation of still images. Each sub-image is classified into one of five classes based on its directional variances, then adaptively transformed. The transformed sub-image is then vector quantised. The simulation results shod improvements in the peak signal to noise ratio at the expense of increased computational complexity. The improvements in the quality of the compressed images outigh the computational complexity of the model."}]