Publisher's Synopsis
Usually, by an image we mean a still picture that does not change with time, whereas a video evolves with time and generally contains moving and/or changing objects. Digital images or video are usually obtained by converting continuous signals into digital format, although "direct digital" systems are becoming more prevalent. Likewise, digital visual signals are viewed by using diverse display media, included digital printers, computer monitors, and digital projection devices. The frequency with which information is transmitted, stored, processed, and displayed in a digital visual format is increasing rapidly, and thus the design of engineering methods for efficiently transmitting, maintaining, and even improving the visual integrity of this information is of heightened interest. One aspect of image processing that makes it such an interesting topic of study is the amazing diversity of applications that use image processing or analysis techniques. Virtually every branch of science has subdisciplines that use recording devices or sensors to collect image data from the universe around us. These data are often multidimensional and can be arranged in a format that is suitable for human viewing. Viewable datasets like this can be regarded as images, and they can be processed by using established techniques for image processing, even if the information has not been derived from visible-light sources. Moreover, the data may be recorded as they change over time, and with faster sensors and recording devices, it is becoming easier to acquire and analyze digitalvideo datasets. By mining the rich spatiotemporal information that is available in video, one can often analyze the growth or evolutionary properties of dynamic physical phenomena or of living specimens. Image and Video Processing- Theoretical and Practical Aspects covers all aspects of theory and practice of image and video processing. It features original research work, review articles and accounts of practical developments. It is envisioned for the rapid distribution of knowledge and experience to Scientists and Engineers working in any area related to or using image and video processing. Contributed articles on image and video processing may be focused on specific techniques, diverse functionalities and services, within the context of various activity sectors employing diverse data formats black and white, gray scale, color, multi spectral, infrared, video, stereo, 3-D). Video processing uses hardware, software, and combinations of the two for editing the images and sound recorded in video files. Extensive algorithms in the processing software and the peripheral equipment allow the user to perform editing functions using various filters. The desired effects can be produced by editing frame by frame or in larger batches. Prefilters used in video processing might include contrast changes, deflicking, and noise elimination along with pixel size conversions. Contrast changes allow the processor to highlight particular areas of an image, change the lighting perspective, and darken or lighten images. Deflicking eliminates camera motion or uneven lighting effects that produce flickering on the video. Noise elimination removes artifacts, including lines or other textured effects that reduce image clarity. Using size conversions, users might change a video from 720 pixels to 1,080 pixels, crop the size of the video, or reposition the video on a background. Processing videos using intrafilters allows users to deblock, or apply techniques that change the image quality. Deblocking removes blocking artifacts, sometimes acquired by compressed files, which reduce image clarity. Using the calculated gradient aspects of images, filters might sharpen out of focus images, apply highlighting around specified areas of an image, or add graphics and text to a video. Filters can also change entire color schemes or vary the colors within an image. Usually, by an image we mean a still picture that does not change with time, whereas a video evolves with time and generally contains moving and/or changing objects. Digital images or video are usually obtained by converting continuous signals into digital format, although "direct digital" systems are becoming more prevalent. Likewise, digital visual signals are viewed by using diverse display media, included digital printers, computer monitors, and digital projection devices. The frequency with which information is transmitted, stored, processed, and displayed in a digital visual format is increasing rapidly, and thus the design of engineering methods for efficiently transmitting, maintaining, and even improving the visual integrity of this information is of heightened interest. One aspect of image processing that makes it such an interesting topic of study is the amazing diversity of applications that use image processing or analysis techniques. Virtually every branch of science has subdisciplines that use recording devices or sensors to collect image data from the universe around us. These data are often multidimensional and can be arranged in a format that is suitable for human viewing. Viewable datasets like this can be regarded as images, and they can be processed by using established techniques for image processing, even if the information has not been derived from visible-light sources. Moreover, the data may be recorded as they change over time, and with faster sensors and recording devices, it is becoming easier to acquire and analyze digitalvideo datasets. By mining the rich spatiotemporal information that is available in video, one can often analyze the growth or evolutionary properties of dynamic physical phenomena or of living specimens. Image and Video Processing- Theoretical and Practical Aspects covers all aspects of theory and practice of image and video processing. It features original research work, review articles and accounts of practical developments. It is envisioned for the rapid distribution of knowledge and experience to Scientists and Engineers working in any area related to or using image and video processing. Contributed articles on image and video processing may be focused on specific techniques, diverse functionalities and services, within the context of various activity sectors employing diverse data formats black and white, gray scale, color, multi spectral, infrared, video, stereo, 3-D). Video processing uses hardware, software, and combinations of the two for editing the images and sound recorded in video files. Extensive algorithms in the processing software and the peripheral equipment allow the user to perform editing functions using various filters. The desired effects can be produced by editing frame by frame or in larger batches. Prefilters used in video processing might include contrast changes, deflicking, and noise elimination along with pixel size conversions. Contrast changes allow the processor to highlight particular areas of an image, change the lighting perspective, and darken or lighten images. Deflicking eliminates camera motion or uneven lighting effects that produce flickering on the video. Noise elimination removes artifacts, including lines or other textured effects that reduce image clarity. Using size conversions, users might change a video from 720 pixels to 1,080 pixels, crop the size of the video, or reposition the video on a background. Processing videos using intrafilters allows users to deblock, or apply techniques that change the image quality. Deblocking removes blocking artifacts, sometimes acquired by compressed files, which reduce image clarity. Using the calculated gradient aspects of images, filters might sharpen out of focus images, apply highlighting around specified areas of an image, or add graphics and text to a video. Filters can also change entire color schemes or vary the colors within an image. Usually, by an image we mean a still picture that does not change with time, whereas a video evolves with time and generally contains moving and/or changing objects. Digital images or video are usually obtained by converting continuous signals into digital format, although "direct digital" systems are becoming more prevalent. Likewise, digital visual signals are viewed by using diverse display media, included digital printers, computer monitors, and digital projection devices. The frequency with which information is transmitted, stored, processed, and displayed in a digital visual format is increasing rapidly, and thus the design of engineering methods for efficiently transmitting, maintaining, and even improving the visual integrity of this information is of heightened interest. One aspect of image processing that makes it such an interesting topic of study is the amazing diversity of applications that use image processing or analysis techniques. Virtually every branch of science has subdisciplines that use recording devices or sensors to collect image data from the universe around us. These data are often multidimensional and can be arranged in a format that is suitable for human viewing. Viewable datasets like this can be regarded as images, and they can be processed by using established techniques for image processing, even if the information has not been derived from visible-light sources. Moreover, the data may be recorded as they change over time, and with faster sensors and recording devices, it is becoming easier to acquire and analyze digitalvideo datasets. By mining the rich spatiotemporal information that is available in video, one can often analyze the growth or evolutionary properties of dynamic physical phenomena or of living specimens. Image and Video Processing- Theoretical and Practical Aspects covers all aspects of theory and practice of image and video processing. It features original research work, review articles and accounts of practical developments. It is envisioned for the rapid distribution of knowledge and experience to Scientists and En
