Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a fixed-point local tone mapping operation (TMO) for high dynamic range (HDR) images. A TMO is classified in two types: local and global. Although a local TMO offers better results than global one, it requires more resources such as a computational cost and memory space. The proposed method uses fixed-point arithmetic with short data to solve this problem. The method uses an intermediate format which is composed of 8-bit mantissa part and 8-bit exponent part instead of IEEE754 standard floating-point format. Moreover, these mantissa part and exponent part are processed separately as two integer numbers. As a result, the method reduces the memory space. In addition, the method also reduces numerical range of calculations; it facilitates to implement the method with fixed-point arithmetic. The experimental results show that the method reduces the memory and computational costs, and offers high quality of tone mapped images comparable to the conventional method.
['Toshiyuki Dobashi', 'Masahiro Iwahashi', 'Hitoshi Kiya']
I am writing a research paper on a idea A fixed-point local tone mapping operation for HDR images
[{"from": "human", "value": "I am writing a research paper on a idea A fixed-point local tone mapping operation for HDR images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a fixed-point local tone mapping operation (TMO) for high dynamic range (HDR) images. A TMO is classified in two types: local and global. Although a local TMO offers better results than global one, it requires more resources such as a computational cost and memory space. The proposed method uses fixed-point arithmetic with short data to solve this problem. The method uses an intermediate format which is composed of 8-bit mantissa part and 8-bit exponent part instead of IEEE754 standard floating-point format. Moreover, these mantissa part and exponent part are processed separately as two integer numbers. As a result, the method reduces the memory space. In addition, the method also reduces numerical range of calculations; it facilitates to implement the method with fixed-point arithmetic. The experimental results show that the method reduces the memory and computational costs, and offers high quality of tone mapped images comparable to the conventional method."}]