Digital camera

About: Digital camera is a research topic. Over the lifetime, 12169 publications have been published within this topic receiving 137431 citations. The topic is also known as: digicam & digital still camera.

Digital camera using multiple fixed focal length lenses and multiple image sensors to provide an extended zoom range

Abstract: An electronic camera includes a plurality of three or more image sensors for generating three or more sensor outputs; a plurality of three or more fixed focal length lenses for forming a corresponding three or more images of the scene on the corresponding three or more image sensors, each of the lenses providing a different field of view of the scene; a control element for selecting one of the sensor outputs from one of the image sensors; and a processing section for producing the output image from the selected sensor output.

Shot-noise influence on the reconstructed phase image signal-to-noise ratio in digital holographic microscopy.

Abstract: In digital holographic microscopy, shot noise is an intrinsic part of the recording process with the digital camera. We present a study based on simulations and real measurements describing the shot-noise influence in the quality of the reconstructed phase images. Different configurations of the reference wave and the object wave intensities will be discussed, illustrating the detection limit and the coherent amplification of the object wave. The signal-to-noise ratio (SNR) calculation of the reconstructed phase images based on the decision statistical theory is derived from a model for image quality estimation proposed by Wagner and Brown [Phys. Med. Biol. 30, 489 (1985)]. It will be shown that a phase image with a SNR above 10 can be obtained with a mean intensity lower than 10 photons per pixel and per hologram coming from the observed object. Experimental measurements on a glass-chrome probe will be presented to illustrate the main results of the simulations.

Smartphone Irrigation Sensor

Abstract: An automated irrigation sensor was designed and implemented to use in agricultural crops. The sensor uses a smartphone to capture and process digital images of the soil nearby the root zone of the crop, and estimates optically the water contents. The sensor is confined in a chamber under controlled illumination and buried at the root level of the plants. An Android App was developed in the smartphone to operate directly the computing and connectivity components, such as the digital camera and the Wi-Fi network. The mobile App wakes up the smartphone, activating the device with user-defined parameters. Then, the built-in camera takes a picture of the soil through an antireflective glass window and an RGB to gray process is achieved to estimate the ratio between wet and dry area of the image. After the Wi-Fi connection is enabled, the ratio is transmitted via a router node to a gateway for control an irrigation water pump. Finally, the App sets the smartphone into the sleep mode to preserve its energy. The sensor is powered by rechargeable batteries, charged by a photovoltaic panel. The smartphone irrigation sensor was evaluated in a pumpkin crop field along 45 days. The experimental results show that the use of smartphones as an irrigation sensor could become a practical tool for agriculture.

Digital camera and method providing selective removal and addition of an imaged object

Abstract: A digital camera and a method produce a desired image from an image captured with the digital camera. The digital camera includes a computer program that, when executed by a controller of the digital camera, implements processing a set of captured images to produce the desired image within the digital camera. The desired image includes selected image portions of the captured images from the set. The desired image is stored in a memory of the digital camera. The method includes processing a set of captured images to produce the desired image with the digital camera. Processing the set includes one or both of image object removal from and addition to an image scene.

Techniques for modifying image field data

Abstract: Techniques for modifying data of an image that can be implemented in a digital camera, video image capturing device and other optical systems are provided to correct for image shading variations appearing in data from a two-dimensional photo-sensor. These variations can be caused by imperfect lenses, non-uniform sensitivity across the photo-sensor, and internal reflections within a housing of the optical system, for example. In order to correct for these variations, a small amount of modification data is stored in a small memory within the camera or other optical system, preferably separate correction data for each primary color. The modification data is generated on the fly, at the same rate as the image data is being acquired, so that the modification takes place without slowing down data transfer from the image sensor.