JPEG2000 Stand alone DVR User Guide

4-4-3 Holiday setup

Set up the holidays through out the year. You can program up to 100 days as holidays. The recording schedule of the holidays is the same as the settings of Sunday.

Press MODE and set the editing mode as EDIT HOLIDAY. Use direction key to select and press ENTER to mark the day as a holiday.

To clear the settings, press MODE to set the editing mode to CLEAR ALL DATA or CLEAR MON DATA (clear data month by month). Press ENTER to clear the settings.

4-5 Back-up

1.[HDD]

Indicate the start and the end recording date and time of the HDD(s).

2.[CD-R]

Select a starting date and time for backup. Press ENTER and use to move the cursor. Use [+] [-] or J.Shuttle to change the value. Press ENTER and then press d go to SIZE to choose a backup size.

3.[SIZE]

Insert a blank CD disk and the DVR will check the disk size and displays on the screen. Press ENTER to enter the SIZE selection. Use [+] [-] or J.Shuttle to change the value. Press ENTER and the DVR caculates the end date and time for backup automatically.

4.[BURN]

Move the cursor to BURN and press ENTER to start the backup. System will save the file in AJP format. Users have to install the program of CD-R BACKUP PLAYER to playback the backup file. Please refer to CHAP.5 CD-R Back-up for more details.

1.Use a blank CD. Do not format or reuse a CD even though it is rewritable.

2.When choosing a backup size, leave 20MB as a buffer and do not use the full space of a CD.

3.Once the DVR starts burning CD, do not press any button to stop the process. When the burning is completed, the DVR ejects the CD automatically.

- 37 -

Page 37
Image 37
Hitachi JPEG2000 manual Back-up, Holiday setup

JPEG2000 specifications

Hitachi JPEG2000 is a high-performance image compression technology that utilizes advanced coding techniques to provide superior image quality while maintaining a smaller file size. It is built upon the JPEG2000 standard, which was developed by the Joint Photographic Experts Group (JPEG) to address limitations in traditional JPEG compression methods, particularly in terms of scalability, quality, and error resilience.

One of the main features of Hitachi JPEG2000 is its use of wavelet compression. Unlike the Discrete Cosine Transform (DCT) employed in standard JPEG, which works on small blocks of images, JPEG2000 utilizes a wavelet transform that allows for multi-resolution analysis of images. This means that images can be compressed at various quality levels, enabling users to access lower-resolution versions without needing to decompress the entire image. This scalability is particularly beneficial for applications like streaming and remote visualization, where bandwidth may be limited.

Another significant characteristic is its superior error resilience. Hitachi JPEG2000 is designed to gracefully handle data corruption that can occur during transmission. This feature is crucial for applications in medical imaging or satellite imagery, where maintaining image integrity is essential. The technology allows for random access to image components, enabling portions of an image to be retrieved without needing to decode the entire file. This capability enhances efficiency when dealing with large datasets.

Additionally, Hitachi JPEG2000 supports lossless compression, meaning that the original image quality can be preserved without any loss of data during compression. This is particularly important for fields such as healthcare, where diagnostic imaging requires absolute precision. The algorithm also offers adjustable compression rates, providing flexibility for different use cases without compromising quality.

The technology is widely implemented in various industries, including broadcasting, film production, and medical imaging, thanks to its ability to deliver high-quality images in a manageable file size. As a versatile solution, Hitachi JPEG2000 stands out with its combination of advanced compression techniques, error resilience, and scalability, making it a preferred choice in an increasingly digital world where efficient data handling is paramount.