The Problem
Quite frequently photographers encounter the annoying experience, of practical inability to shoot a scene with a wide range of brightness levels. The modern camera, as perfect as it may seem, lacks the necessary dynamic range for scenes, with complex and "not ideal" lighting conditions. The problem results, too frequently, in the need to abandon a picture and/or a video stream due to the lack of the right capturing angle, or to settle for a poor compromise on image quality.
The need for better sensitivity in order to capture the fine details of dark areas photographed can be solved by image sensors with larger pixel sizes, longer image exposure times and with wider iris opening. These solutions increase the need for image sensors that must have additional grey levels per pixel. These extra sensitive sensors are called wide dynamic range (WDR) sensors. Cameras with WDR and low light sensitivity that is capable of producing, high quality image(s) that shows the fine details of the darker image areas, yet without over exposure of the brightest image areas. These sensors are in dire need for surveillance, automotive, machine vision and other applications. The Mega pixel race and the reduction of pixels' dimensions, increase the need for sensitivity and WDR solutions also for common sensors integrated in Digital Stills cameras and Cam phones.
With all the known marvels of the digital technology, no solution is rendered for extremely bright areas adjacent to relatively dark areas in the photo scene.
The Solution
Bright's solution was designed to extend the dynamic range (DR) of CMOS image sensor based cameras, by a large factor. The solution is based on its high quality Multi-Resets (MR) method and trades expensive sensor's hardware "real estate" with low cost software. The Camera’s DR is adapted, automatically, to fit a specific scene resulting in low noise level at all light intensities, high quality images, short setup time and higher compression ratios.
In MR, the sensor modification allows independent discharging of every pixel, whenever saturation is reached. The pixel continues the process of photons acquisition and discharge till the end of the exposure interval. Typical MR implementation requires a counter per pixel to store the number of discharges per pixel during frame integration. A single exposure time is required to capture the image details of the darkest areas of the scene. Bright's solution uses the same reset mechanism as MR but without the counters, looses the number of discharges per pixel and therefore must recover these values by post analysis. Bright's solution is not bounded to the counter's number of bits, do not require their large real estate and therefore enjoys from low cost implementations.
Technology (product) Description
The technology consists of a patent pending and proprietary solution based on a relatively simple modification of regular CMOS sensor chips and special algorithms to reconstruct the number of discharges for each pixel and facilitate full image reconstruction analysis. As a result, the cost of the camera barely changes while its specifications are significantly improved.
The image sensor hardware digital section does not require any modification, while the analogue section requires a pixel modification to allow reset per pixel and fast column feedback. There is no modification to the ADV, pixel pitch and optics. Bright designed two circuits, to perform the independent reset per pixel for 3T and 5T CMOS sensors. This technology also fits for implementation in small pixel sizes as required by cellular and DSC camera manufacturers.
Special reconstruction algorithms were developed and tested in simulator implemented in Bright, demonstrating a significant increase of the dynamic range - adding 2-5 additional bits per pixel to CMOS sensor. The signal to noise ratio of the resulting sensor is low and constant for all light levels, resulting in high quality image and capture of the finest details of the dark areas of the image, while the brightest areas do not suffer from saturation (blooming) effects. Additional algorithms for Dynamic Range Compression (DRC) were developed in order to present the WDR images by 8 bits screen.
Image reconstruction can be done at the camera level or even later on just before it is display on a PC monitor, for example. The software requires additional CPU power and may be implemented on an image signal processing chip (ISP), DSP or at the PC prior to the analysis or display on the monitor, depending on the desired camera module electronic architecture.
Products
Bright intends to introduce a CMOS image sensors targeted at several markets with different capabilities: mid to high end compact Digital Stills Camera (DSC), surveillance video cameras, automotive safety and driver assist video cameras and machine vision applications. Cam phones will be targeted by IP partnerships with leader in this industry.
All sensors will be offered with reconstruction software running on DSP's, ISP's (Image Signal Processor) or codec's for PC.
The Team
CEO: Mr. Yair Darel
Entrepreneur: Dr. Daniel I. Barnea
Senior consultant: Mr. Noam Sorek
Contact