Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is ll known that compression of very large images (e.g. medical imaging, microscopy, satellite images) requires stripe-based or tiling processing. In some applications, the transmission of compressed data is performed through a rate constrained channel. Thus, rate allocation and control procedures have to be used to fit the channel characteristics. On the other hand, most applications require high quality image coding without any real time rate constraint (e.g. off-line compression for storage or for broadcasting over IP, ADSL, HDTV, etc.). Therefore,  propose a new stripe-based compression algorithm based on quality control. Our method computes first an optimal subband MSE allocation and then, the corresponding quantization steps. The proposed algorithm provides, both accurate local MSE control and a global rate-distortion improvement when compared to a rate constrained compression scheme. Furthermore, it performs better than JPEG2000.
['Christophe Parisot', 'Marc Antonini', 'Michel Barlaud']
I am writing a research paper on a idea Stripe-based MSE control in image coding
[{"from": "human", "value": "I am writing a research paper on a idea Stripe-based MSE control in image coding"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is ll known that compression of very large images (e.g. medical imaging, microscopy, satellite images) requires stripe-based or tiling processing. In some applications, the transmission of compressed data is performed through a rate constrained channel. Thus, rate allocation and control procedures have to be used to fit the channel characteristics. On the other hand, most applications require high quality image coding without any real time rate constraint (e.g. off-line compression for storage or for broadcasting over IP, ADSL, HDTV, etc.). Therefore,  propose a new stripe-based compression algorithm based on quality control. Our method computes first an optimal subband MSE allocation and then, the corresponding quantization steps. The proposed algorithm provides, both accurate local MSE control and a global rate-distortion improvement when compared to a rate constrained compression scheme. Furthermore, it performs better than JPEG2000."}]