Abstract: Systems and techniques are disclosed for dynamically and automatically selecting an appropriate compression technique and/or compression parameters for digital images in order to reduce or prevent loss of significant information that may negatively impact the utility or usefulness of the digital images. For example, based on various image characteristics associated with a digital image, the system may dynamically compress the image using particular compression techniques and/or by adjusting compression parameters, to maintain significant information of the image. The system may select compression techniques and/or compression parameters based on one or more compression rules, which may be associated with image characteristics, patient characteristics, medical history, etc. Further, the system may, based on the one or more compression rules, compress the image to a maximum degree of compression while maintaining the significant information of the image.

Abstract: Systems and techniques are disclosed for dynamically and automatically selecting an appropriate compression technique and/or compression parameters for digital images in order to reduce or prevent loss of significant information that may negatively impact the utility or usefulness of the digital images. For example, based on various image characteristics associated with a digital image, the system may dynamically compress the image using particular compression techniques and/or by adjusting compression parameters, to maintain significant information of the image. The system may select compression techniques and/or compression parameters based on one or more compression rules, which may be associated with image characteristics, patient characteristics, medical history, etc. Further, the system may, based on the one or more compression rules, compress the image to a maximum degree of compression while maintaining the significant information of the image.

Abstract: Systems and techniques are disclosed for dynamically and automatically selecting an appropriate compression technique and/or compression parameters for digital images in order to reduce or prevent loss of significant information that may negatively impact the utility or usefulness of the digital images. For example, based on various image characteristics associated with a digital image, the system may dynamically compress the image using particular compression techniques and/or by adjusting compression parameters, to maintain significant information of the image. The system may select compression techniques and/or compression parameters based on one or more compression rules, which may be associated with image characteristics patient characteristics, medical history, etc. Further, the system may, based on the one or more compression rules, compress the image to a maximum degree of compression while maintaining the significant information of the image.

Abstract: JPEG-2000 data is formatted into RTP packets for transmission through the Internet. A priority field is provided in the format, and a value indicating the importance of a code stream included in a packet is stored therein. A type field indicates a payload type of a JPEG-2000 code stream. An mh_id field is provided as an identifier of a main header of the JPEG-2000 code stream and indicates a change in the main header. An mh_length field indicates the length of the main header and a fragment offset field stores the number of offset bytes from the start of an image of the packet.