Current image acquisition and processing allow construction of images with a very wide range of luminous levels. The invention is a method for intelligently manipulating the luminous levels into a displayed image where a maximum amount of significant viewable detail can be simultaneously displayed. The algorithm is based on visual model mechanisms which includes retinal receptive fields and retinal adaptation mechanisms (gain control). This algorithm succeeds in automatically compressing the dynamic range of images up to about 10 degrees of magnitude of intensity.
The Need and Potential Application:
Conventional viewing displays are limited to 256 luminous levels. High quality images that contain many more luminous levels are down sampled into this range which reduces view ability of many details. Simple luminous range stretching can be performed, but this does not result in optimized viewing. The TAU team developed an algorithm that incorporates the physiological components of human vision and can adeptly optimize the contrast manipulation in order to achieve the best contrast definitions.
The algorithm can be applied to still images and video in real-time.
Project ID : 4-2008-34
The Invention
Current image acquisition and processing allow construction of images with a very wide range of luminous levels. The invention is a method for intelligently manipulating the luminous levels into a displayed image where a maximum amount of significant viewable detail can be simultaneously displayed. The algorithm is based on a visual model which includes retinal receptive fields and retinal adaptation mechanisms (gain control). The adaptation mechanism is related to local and remote mechanisms, and based on curve-shifting effects. This algorithm succeeds in automatically compressing the dynamic range of images up to about 10 degrees of magnitude of intensity.
Potential Applications
The method can be used for graphic programs for image viewing improvement. It can also be implemented in situations where overlays of the same image are viewed in separate luminance range windows. It can be applied to HDR Cmos cameras.
The Need
Conventional viewing displays are limited to 256 luminous levels. High quality images that contain many more luminous levels are down sampled into this range which reduces view ability of many details. For example, the flash of a camera can render certain areas of a frame very bright, so that all detail is lost. The contrast can be offset to reduce the maximum brightness but in that case less illuminated areas will be lost. Simple luminous range stretching can be performed, but this does not result in optimized viewing. The TAU team chose an algorithm that understands the physiological components of human viewing of images and can individually optimize the contrast manipulation in order to achieve the best contrast definitions.
Advantages
The TAU group has constructed an algorithm that both compresses and expands (com/pands) the dynamic range of contrasts in an image, where this data exists in both standard images (256 intensity leveles) and HDR images (High Dynamic Range).
Patent
US and European patent applications and granted
Project manager
Oren Calfon
VP Business Development, ICT
Project researchers
Hedva Spitzer
T.A.U Tel Aviv University, Engineering
School of Electrical Engineering
Ramot is Tel Aviv University's (TAU) technology transfer company and its liaison to industry, bringing promising scientific discoveries made at the university to industry's attention. The company provides the legal and commercial frameworks for inventions made by TAU faculty, students and researchers, protecting discoveries with patents and working jointly with industry to bring scientific innovations to the market.
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