[PDF] Digital camera simulation. | Semantic Scholar (2024)

An end-to-end software simulation of a digital camera that models the spectral radiance of 3D-scenes, formation of the spectral irradiance by multi-element optics, and conversion of the irradiance to digital values by the image sensor is described and experimentally validated.

A spectral image processing algorithm is used to simulate the radiometric properties of a digital camera system, taking into consideration the spectral image and the transmittances of the light source, lenses, filters, and the quantum efficiency of a complementary metal-oxide semiconductor (CMOS) image sensor.

The image system simulation accurately matched measurements of optical blur, depth of field, spectral quantum efficiency, scene inter-reflections, and sensor noise data, which support the use of image systems simulation methods for soft prototyping cameras and for producing synthetic data in machine learning applications.

This work presents a method for simulating multi-camera systems and results comparing different algorithms and camera geometries, and presents a comparison of the results.

A physically accurate model of seawater constituents is used to simulate how light is captured by the imaging sensor in a digital camera placed in underwater ocean environments and it is shown that by adjusting the model parameters, real sensor data can be predicted at a fixed distance and depth from a reference target with known spectral reflectance.

This paper describes how the L3 method was used to design and implement an image processing pipeline for a prototype camera with five color channels, which includes calibrating and simulating the prototype, learning local linear transforms and accelerating the pipeline using graphics processing units (GPUs).

This work describes and experimentally validate an end-to-end physics-based image systems simulation of a digital camera that models the spectral radiance of 3-D scenes, the formation of the spectral irradiance by multielement optics, and the conversion of the irradiance to digital values (DVs) by the image sensor.

A simple and efficient implementation of depth from light field algorithm, in particular, a novel and effective refinement scheme for Lytro camera is proposed, and it is demonstrated that the approach outperforms the state-of-theart algorithms and commercial software.

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The Image Systems Evaluation Toolkit (ISET) is an integrated suite of software routines that simulate the capture and processing of visual scenes that assist the engineer in evaluating the color accuracy and quality of the rendered image.

An empirical digital imaging system simulation that traces the photons reflected by the objects in a scene through the optics and color filter array, converts photons into electrons with consideration of noise introduced by the system, and generates a Bayer raw image just as a real camera does.

A model for the different sources of noise relative to each sensor-based image formation step is presented, and measurements of real digital camera images are used to validate the model.

This paper extends the traditional pin-hole camera projection geometry to a more realistic camera model which approximates the effects of a lens and an aperture function of an actual camera, allowing the generation of synthetic images which have a depth of field, can be focused on an arbitrary plane, and also permits selective modeling of certain optical characteristics of a Lens.

The optics underlying camera models that have been used in computer graphics, and object space techniques for rendering with those models are described, and image space techniques to simulate these models are surveyed.

This paper describes a physically-based camera model for computer graphics that accurately computes the irradiance on the film given the incoming radiance from the scene.

This paper describes a programmable digital camera sensor with pixel-level analog-to-digital conversion (ADC) and experiments with a new system architecture, which is called multiple capture, single image (MCSI).

A unique array of 100 custom video cameras that are built are described, and their experiences using this array in a range of imaging applications are summarized.

A method for integrating information from lens design into image system simulation tools and includes a number of parameters and methods designed to reduce artifacts that can arise in shift-variant filtering.

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