Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: On the Internet, transmission time of large images is still an important issue. In order to reduce transmission time this paper introduces an efficient method to send 8-bit greyscale images across the Internet. The method allows progressive transmission up to lossless reconstruction. It also allows the user to select a region of interest (ROI). This method is particularly useful when image quality and transmission speed are two desired properties. The method uses TCP-IP as a transport protocol. The coding scheme is based on the Hadamard transformation combined with a non-trivial quantization/dequantization scheme and an arithmetic coder. The coder compresses a bitstream by applying the Hadamard transform to an 8-bit greyscale (medical) image. An arithmetic coder is used to achieve compression. This bitstream from the arithmetic coder is then sent across the Internet using an ordinary b-server. At the client-side the decoder decompresses the bitstream and shows it progressively using an Netscape Server Application Programming Interface plug-in (NSAPI 1 ). During the process of decoding, the user can indicate a ROI. The client software then makes a request to the server asking for the ROI. The server responds to this request by first applying the same compression method to the ROI using a Internet Information Server Application Programming Interface extension (ISAPI 2 ) and then sending this bitstream to the client. Compression ratios achieved by the proposed technique are nearly as good as lossless JPEG. The original image is reconstructed progressively and a ROI can be indicated during the reconstruction at any given time. The ROI is then shown to the user before the rest of the image. This approach is particularly useful with low-bandwith connections like a modem. No other technique is known to the authors that has progressive transmission, good compression and a ROI.
['Boris Rogge', 'Ignace Lemahieu', 'Wilfried Philips', 'Koen Denecker', 'Peter De Neve', 'Steven Van Assche']
I am writing a research paper on a idea Region-of-interest-based progressive transmission of gray-scale images across the Internet
[{"from": "human", "value": "I am writing a research paper on a idea Region-of-interest-based progressive transmission of gray-scale images across the Internet"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: On the Internet, transmission time of large images is still an important issue. In order to reduce transmission time this paper introduces an efficient method to send 8-bit greyscale images across the Internet. The method allows progressive transmission up to lossless reconstruction. It also allows the user to select a region of interest (ROI). This method is particularly useful when image quality and transmission speed are two desired properties. The method uses TCP-IP as a transport protocol. The coding scheme is based on the Hadamard transformation combined with a non-trivial quantization/dequantization scheme and an arithmetic coder. The coder compresses a bitstream by applying the Hadamard transform to an 8-bit greyscale (medical) image. An arithmetic coder is used to achieve compression. This bitstream from the arithmetic coder is then sent across the Internet using an ordinary b-server. At the client-side the decoder decompresses the bitstream and shows it progressively using an Netscape Server Application Programming Interface plug-in (NSAPI 1 ). During the process of decoding, the user can indicate a ROI. The client software then makes a request to the server asking for the ROI. The server responds to this request by first applying the same compression method to the ROI using a Internet Information Server Application Programming Interface extension (ISAPI 2 ) and then sending this bitstream to the client. Compression ratios achieved by the proposed technique are nearly as good as lossless JPEG. The original image is reconstructed progressively and a ROI can be indicated during the reconstruction at any given time. The ROI is then shown to the user before the rest of the image. This approach is particularly useful with low-bandwith connections like a modem. No other technique is known to the authors that has progressive transmission, good compression and a ROI."}]