{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854188","patent":{"patent_number":"US-9854188","title":"Calibration of defective image sensor elements","assignee":null,"inventors":[],"filing_date":"2015-12-16T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G06T","H04N","H04N","H04N","H04N","H04N","H04N","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"The present disclosure relates to methods and systems that may reduce pixel noise due to defective sensor elements in optical imaging systems. Namely, a camera may capture a burst of images with an image sensor while adjusting a focus distance setting of an optical element. For example, the image burst may be captured during an autofocus process. The plurality of images may be averaged or otherwise merged to provide a single, aggregate image frame. Such an aggregate image frame may appear blurry. In such a scenario, “hot” pixels, “dead” pixels, or otherwise defective pixels may be more easily recognized and/or corrected. As an example, a defective pixel may be removed from a target image or otherwise corrected by replacing a value of the defective pixel with an average value of neighboring pixels."},"analysis":{"summary":"The Calibration of Defective Image Sensor Elements patent introduces a novel approach to reduce pixel noise in optical imaging systems caused by defective sensor elements. The core innovation lies in capturing a burst of images with slight variations in focus distance, typically during an autofocus process. These images are then averaged or merged to create a single, aggregate image frame. This aggregation process makes it easier to identify and correct 'hot' or 'dead' pixels. Once identified, the defective pixels are removed or corrected by replacing their values with the average value of neighboring pixels.\n\nThe problem being solved is the degradation of image quality due to defective pixels in image sensors. These defects can lead to noise, artifacts, and reduced overall image clarity. Existing solutions often involve complex hardware modifications or computationally intensive post-processing techniques.\n\nThe key technical approach involves capturing a burst of images with varying focus, aggregating these images, identifying defective pixels, and then correcting their values using neighboring pixel data. This approach is relatively simple to implement and can be integrated into existing camera systems.\n\nThe business value and applications are significant. This technology can improve the image quality of smartphones, digital cameras, medical imaging devices, and industrial inspection systems. It offers a competitive advantage to manufacturers by enabling them to produce higher-quality imaging devices at a lower cost.\n\nThe market opportunity is vast, as the demand for high-quality imaging continues to grow across various industries. This technology can be licensed to camera manufacturers, medical device companies, and other organizations that rely on optical imaging. The simplicity and effectiveness of this approach make it a highly attractive solution for addressing the problem of defective pixels in image sensors.","layman_explanation":"The Calibration of Defective Image Sensor Elements patent addresses a common problem in digital imaging: imperfections in camera sensors. These imperfections, often referred to as 'hot' or 'dead' pixels, can degrade image quality and lead to undesirable visual artifacts. Existing solutions to this problem are often complex, expensive, or ineffective. This patent offers a simpler, more efficient approach to correcting these imperfections.\n\n**What Problem Does This Solve?**\nDigital cameras, smartphones, and other imaging devices rely on image sensors to capture light and convert it into digital images. However, these sensors are not perfect. Some pixels may be defective, either by being overly sensitive to light ('hot' pixels) or by being completely unresponsive ('dead' pixels). These defective pixels can create noticeable blemishes in the image, reducing its overall quality. Existing solutions, such as complex hardware calibrations or computationally intensive software algorithms, can be costly and time-consuming. Furthermore, they may not be effective in completely eliminating the effects of defective pixels.\n\n**How Does It Work?**\nInstead of relying on complex hardware or software, this patent takes a more straightforward approach. It involves capturing a burst of images while slightly adjusting the focus of the camera. This can be done automatically using the camera's autofocus system. The key idea is that by capturing multiple images with slight variations in focus, the effects of defective pixels can be averaged out. The system then analyzes these images to identify the defective pixels and correct their values. This correction is typically done by replacing the value of the defective pixel with the average value of its neighboring pixels. This technique effectively smooths out the imperfections, resulting in a cleaner, more visually appealing image. Imagine it like taking many pictures of a scratch on a table. If you take enough pictures from slightly different angles, the scratch becomes less noticeable because it gets blended in with the rest of the table.\n\n**Why Does This Matter?**\nThis technology has significant implications for the imaging industry. By providing a simple and effective solution to the problem of defective pixels, it can improve the quality of images captured by a wide range of devices. This can lead to enhanced user experiences, increased customer satisfaction, and improved business outcomes. The market opportunity for this technology is vast, as the demand for high-quality imaging continues to grow across various industries. The competitive advantages of this technology include its simplicity, low cost, and ease of implementation. It can be easily integrated into existing camera systems without requiring significant hardware or software modifications. The potential ROI for companies that adopt this technology is high, as it can lead to increased sales, reduced warranty costs, and improved brand reputation.\n\n**What's Next?**\nThe future applications of this technology are promising. As image sensors continue to evolve, the problem of defective pixels will likely remain a challenge. This technology can be adapted and refined to address the evolving needs of the imaging industry. Furthermore, it can be combined with other image processing techniques to further enhance image quality and reduce noise. The market adoption timeline for this technology is relatively short, as it can be easily integrated into existing products. The investment implications are also favorable, as the technology offers a high potential for return on investment.","technical_analysis":"The Calibration of Defective Image Sensor Elements patent details a system for mitigating the effects of defective pixels in image sensors. The technical architecture involves several key steps: image acquisition, defective pixel identification, and pixel value correction. During image acquisition, a burst of images is captured while the focus distance is slightly adjusted. This can be accomplished using the existing autofocus mechanism of the camera. The variation in focus causes each pixel to be projected onto a slightly different area of the sensor, which helps to differentiate defective pixels from normal pixels.\n\nThe defective pixel identification process involves analyzing the aggregated image data. Defective pixels, such as 'hot' pixels, tend to have significantly different values compared to their neighbors. Various statistical methods can be used to identify these outliers. For example, a pixel can be considered defective if its value exceeds a certain threshold or if it deviates significantly from the average value of its neighboring pixels.\n\nOnce the defective pixels have been identified, their values are corrected using a pixel value correction algorithm. A common approach is to replace the value of the defective pixel with the average value of its neighboring pixels. This technique effectively smooths out the imperfections caused by the defective pixel. More sophisticated algorithms can also be used, such as median filtering or interpolation techniques.\n\nThe implementation details of this system can vary depending on the specific application. However, the core principles remain the same. The system can be implemented in hardware or software, or a combination of both. The performance characteristics of the system depend on factors such as the speed of the image sensor, the processing power of the device, and the efficiency of the pixel value correction algorithm. The code-level implications involve implementing the image acquisition, defective pixel identification, and pixel value correction algorithms in a programming language such as C++ or Python. The integration patterns typically involve integrating the system into existing camera systems or image processing pipelines. The system is designed to improve image quality by reducing the impact of defective pixels, leading to clearer and more accurate images.","business_analysis":"The Calibration of Defective Image Sensor Elements patent presents a significant business opportunity in the imaging technology market. The market opportunity size is substantial, given the widespread use of image sensors in various devices, including smartphones, digital cameras, medical imaging equipment, and industrial inspection systems. The increasing demand for high-quality imaging across these industries creates a strong market for technologies that can improve image quality and reduce noise.\n\nThe competitive advantages of this technology include its simplicity, effectiveness, and ease of implementation. Unlike traditional methods that require complex hardware modifications or computationally intensive post-processing techniques, this approach can be integrated into existing camera systems with minimal effort. This reduces implementation costs and time-to-market.\n\nThe revenue potential is significant. The technology can be licensed to camera manufacturers, medical device companies, and other organizations that rely on optical imaging. Licensing fees can be structured based on the number of devices sold or the volume of images processed. In addition, the technology can be incorporated into the company's own imaging products, providing a competitive edge in the market.\n\nThe business models for this technology include licensing, product integration, and service offerings. Licensing involves granting other companies the right to use the technology in their products in exchange for royalties or licensing fees. Product integration involves incorporating the technology into the company's own imaging products to enhance their performance and value. Service offerings involve providing image processing services to customers who need to improve the quality of their images.\n\nThe strategic positioning of this technology is strong. It addresses a common problem in the imaging industry – the presence of defective pixels in image sensors. By providing a simple and effective solution, this technology can help companies differentiate their products and gain a competitive advantage. The ROI projections for this technology are attractive. The low implementation costs and high revenue potential make it a highly profitable investment. The technology can generate significant returns for investors and create value for shareholders.","faqs":null,"topics":["image sensor calibration","defective pixel correction","image processing","optical imaging","camera technology"],"tech_cluster":null},"seo":{"title":"Calibration of Defective Image Sensor Elements - Patent US-9854188","description":"Discover how this groundbreaking patent reduces pixel noise caused by defective sensor elements. Full patent analysis, claims, and technical details.","keywords":["image sensor calibration","defective pixel correction","image processing","optical imaging","camera technology","pixel noise reduction","patent","patent US-9854188"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854188","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854188","citation_suggestion":"Patentable. \"Calibration of defective image sensor elements\" (US-9854188). https://patentable.app/patents/US-9854188","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854188","json":"https://patentable.app/api/llm-context/US-9854188","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:02:36.183Z"}