The present disclosure provides an adaptive shading correction method for correcting an image for lens shading, including segmenting the image into a plurality of blocks of pixels and identifying hue-flat blocks with a relatively low hue variance, where the hue-flat blocks are clustered into at least one cluster based on a spatial distribution of the blocks. Selected modification parameters for modifying an average shading mesh are identified by modifying the average shading mesh along a plurality of dimensions using a plurality of modification parameters, and processing the at least one cluster with the average shading mesh as modified so as to identify the selected modification parameters. The average shading mesh is modified using the selected modification parameters to generate a shading correction mesh, which is used to correct the image for lens shading.

There is provided an image sensor including a pixel unit, the pixel unit including a photodiode, a first color filter and a second color filter each disposed in a different position on a plane above the photodiode, and a first on-chip lens disposed over the first color filter and a second on-chip lens disposed over the second color filter.

A method of measuring a depth map for an object or a material property of an object involves positioning multiple projectors at respectively multiple angular positions relative to an object. Each of the projectors comprises color channels whose colors differ from that of other projectors. An image capture device is positioned relative to the multiple projectors. A combined color pattern is projected onto the object using the multiple projectors. Each projector projects a color striped pattern whose resolution differs from that of others of the projectors and the resolution of the color striped pattern is related to the angular position of the projector. An image of the object is captured with the combined color pattern using the image capture device and a depth map or a material property of the object is recovered by calculations using the captured image.

The present disclosure relates to a multi-spectrum photosensitive device and manufacturing method thereof. The multi-spectrum photosensitive device comprises at least one opaque base layer; each base layer having at least two sides, at least two of the sides are provided with photosensitive pixel groups, each photosensitive pixel group is used for sensing light of either spectrum irradiated from the obverse direction of the located side. Alternatively, the multi-spectrum photosensitive device comprises at least one transparent base layer; each base layer having at least two sides, at least two of the sides are provided with photosensitive pixel groups, each photosensitive pixel group is used for sensing light of interested spectrum irritated from the obverse direction or reverse direction of the located side. The present invention could be used to simultaneously sense different views of two directions or to sense a view of one direction by using the same sensing device to carry out double-direction sensing, thereby improving the performance of sensing device.

Near infrared imaging is highly complementary to color imaging having a wide range of applications. For example, in health applications, the near infrared can provide biomolecular information on tissue that is not apparent under visual examination nor from the inspection of color images of tissue. Thus, there is utility in viewing both visible color and near infrared images in combination. Described herein are methods to perform visible and near infrared imaging as well as hybrid visible color and near infrared imaging with a single conventional color filter array RGB sensor. The methods automatically provide spatially co-registered color and near infrared images and the methods can be used as the basis for a multispectral or hyperspectral imaging system.

In various embodiments, image sensors and methods of making images sensors are disclosed. In an embodiment, an image sensor includes a first pixel region having a pixel electrode, an optically sensitive material of a first thickness, and a counterelectrode. The images sensor also includes a second pixel region comprising a pixel electrode, an optically sensitive material of a second thickness, and a counterelectrode. The first pixel region is configured to detect light in a first spectral band and the second pixel region is configured to detect light in a second spectral band. The first and second spectral bands include an overlapping spectral range. The second spectral band also includes a spectral range that is substantially undetectable by the first pixel region. Other image sensors and methods of making images sensors are also disclosed.

There is provided an image sensor including a pixel unit, the pixel unit including a photodiode, a first color filter and a second color filter each disposed in a different position on a plane above the photodiode, and a first on-chip lens disposed over the first color filter and a second on-chip lens disposed over the second color filter.

A biological information detection device includes first and second light sources, an image capturing system, and an arithmetic circuit. The first and second light sources project, onto a living body, at least one first dot formed by first light and at least one second dot formed by second light, respectively. The image capturing system includes first photodetector cells and second photodetector cells. The image capturing system generates and outputs a first image signal and a second image signal. The arithmetic circuit generates information concerning the living body, by using the first and second image signals. The first light includes fifth light. The second light includes sixth light. Each of the fifth light and the sixth light has a wavelength in a range from 650 nm to 950 nm. The wavelength of the sixth light is longer than that of the fifth light by 50 nm or more.

A method and an electronic device for producing a composite image are provided. The method includes receiving visible image data and near infrared (NIR) image data from a composite sensor, determining whether at least one portion of the NIR image data having a level of detail greater than or equal to a threshold, and generating a composite image by fusing the visible image data with the at least one portion of the NIR image data based on the determination and storing the composite image in a memory.

An image sensor including a plurality of pixels on which three types of filters which transmit light having different wavelengths and have transmittances equal to each other in a visible light region, and a clear filter in which a transmittance of the visible light region is expressed by a linear sum of the transmittances of the filters and which has a transmittance equal to the transmittances of the filters in a near-infrared light region are arranged, the image sensor outputs a first output signal, an output signal linear-transforming part transforms the first output signal into a second output signal having linearity, a color signal-generating part generates color signals, an infrared-separating part generates infrared-separated color signals, a luminance signal-generating part generates a luminance signal from the first output signal, and a color-luminance-combining part combines the infrared-separated color signals and the luminance signal and generates video signals.