{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854186","patent":{"patent_number":"US-9854186","title":"Methods and apparatus for an images sensor with row-level gain control","assignee":null,"inventors":[],"filing_date":"2016-05-23T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04N","H04N","H04N"],"num_claims":20,"abstract":"Various embodiments of the present technology may comprise methods and systems image sensors. The methods and systems may comprise selectively activating either high or low conversion gain mode for a predetermined number of rows by comparing pixel row data to predetermined threshold values prior to image signal processing."},"analysis":{"summary":"The Methods and Apparatus for an Images Sensor with Row-level Gain Control patent presents a novel approach to image sensor design, addressing the limitations of traditional sensors in handling scenes with high dynamic range. The core innovation lies in selectively activating either high or low conversion gain mode for a predetermined number of rows by comparing pixel row data to predetermined threshold values prior to image signal processing. This allows for optimization on a row-by-row basis, capturing details in both bright and dark areas simultaneously.\n\nThe problem being solved is the limited dynamic range of traditional image sensors, which often struggle with scenes containing both bright and dark areas, resulting in either overexposure in bright regions or underexposure in dark regions. The key technical approach involves comparing pixel row data to predetermined threshold values and then dynamically adjusting the conversion gain for each row. This enables the sensor to capture a wider range of light intensities without sacrificing image quality.\n\nThe business value and applications of this technology are significant. It can be applied to a wide range of industries, including consumer electronics (smartphones, cameras), automotive (ADAS systems), and medical imaging (endoscopes, medical imaging devices). The market opportunity is substantial, as the demand for higher-quality images continues to grow across these industries. The competitive advantages include improved dynamic range, reduced noise, and better performance in challenging lighting conditions. This technology has the potential to revolutionize how we capture and process images, creating new opportunities for businesses and consumers alike.","layman_explanation":"The Methods and Apparatus for an Images Sensor with Row-level Gain Control addresses a fundamental problem in digital imaging: the limited dynamic range of image sensors. Dynamic range refers to the ability of a sensor to capture detail in both the brightest and darkest areas of a scene. Traditional image sensors often struggle with scenes that contain a wide range of light intensities, resulting in either overexposed highlights or underexposed shadows. This limitation can significantly impact the quality of the captured image.\n\nTraditional image sensors use a fixed gain setting for the entire image. Gain is essentially the amplification applied to the light signal received by the sensor. While this approach is simple, it is not ideal for scenes with high dynamic range. The Methods and Apparatus for an Images Sensor with Row-level Gain Control solves this problem by allowing the gain to be adjusted on a row-by-row basis. This means that the sensor can apply a different gain setting to each row of pixels, optimizing the image capture for that particular row.\n\nWhy does this matter? The ability to adjust the gain on a row-by-row basis results in images with significantly improved dynamic range. This means that the captured image will contain more detail in both the bright and dark areas of the scene. This can lead to more realistic and visually appealing images. The technology offers a significant advantage over traditional image sensors. By dynamically adjusting the gain for each row of pixels, the sensor can capture a wider range of light intensities without sacrificing image quality. This can lead to improved image quality, reduced noise, and better performance in challenging lighting conditions.\n\nIn the future, we can expect to see this technology integrated into a wide range of devices, including smartphones, digital cameras, and automotive imaging systems. As the demand for higher-quality images continues to grow, innovations like this will become increasingly important. The Methods and Apparatus for an Images Sensor with Row-level Gain Control represents a significant step forward in image sensor technology, and it has the potential to revolutionize how we capture and process images in the future.","technical_analysis":"The Methods and Apparatus for an Images Sensor with Row-level Gain Control patent introduces a novel approach to image sensor design, addressing the limitations of traditional sensors in handling scenes with high dynamic range. The technical architecture involves several key components working in concert.\n\nFirst, the pixel row data is read from the image sensor. This data represents the light intensity captured by each pixel in the row. Second, the pixel row data is compared to predetermined threshold values. These threshold values are typically set based on the expected range of light intensities in the scene. Third, based on the comparison, either high or low conversion gain mode is activated for the row. This activation can be implemented using a variety of circuit designs, such as switches or multiplexers. Finally, the image signal processing is performed on the captured data. This processing may include noise reduction, color correction, and other image enhancement techniques.\n\nThe implementation details involve careful consideration of the threshold values, the circuit design for gain activation, and the image signal processing algorithms. The threshold values must be chosen to accurately distinguish between bright and dark areas in the scene. The circuit design must be efficient and reliable to ensure that the gain can be switched quickly and accurately. The image signal processing algorithms must be optimized to take advantage of the improved dynamic range and reduced noise provided by the row-level gain control.\n\nThe integration patterns for this technology involve incorporating it into existing image sensor designs. This can be done by modifying the pixel array and adding the necessary control circuitry. The performance characteristics of the technology are excellent, with significant improvements in dynamic range and noise reduction compared to traditional image sensors. The code-level implications involve modifying the image processing algorithms to take advantage of the improved data quality.","business_analysis":"The Methods and Apparatus for an Images Sensor with Row-level Gain Control patent presents a significant business opportunity in the image sensor market. The market opportunity size is substantial, as the demand for higher-quality images continues to grow across various industries, including consumer electronics, automotive, and medical imaging.\n\nThe competitive advantages of this technology include improved dynamic range, reduced noise, and better performance in challenging lighting conditions. These advantages can lead to increased market share and higher profit margins for companies that adopt this technology. The revenue potential is significant, as the technology can be licensed to image sensor manufacturers or incorporated into their own products. The business models that can be used to monetize this technology include licensing, product sales, and service offerings.\n\nThe strategic positioning of this technology is excellent, as it addresses a key limitation of traditional image sensors and provides a clear path for improvement. The ROI projections for this technology are high, as the benefits of improved image quality and reduced noise can lead to increased sales and customer satisfaction. The market opportunity is substantial, the competitive advantages are clear, and the ROI projections are high. This technology has the potential to generate significant revenue and create new opportunities for businesses and consumers alike.","faqs":null,"topics":["image sensor","row-level gain control","dynamic range","noise reduction","image capture"],"tech_cluster":null},"seo":{"title":"Row-Level Gain Control - Patent US-9854186","description":"Discover the Methods and Apparatus for an Images Sensor with Row-level Gain Control patent. Improve dynamic range with row-by-row gain adjustment. Full analysis & claims.","keywords":["image sensor","row-level gain control","dynamic range","noise reduction","image capture","camera technology","patent US-9854186","image processing","sensor technology","high dynamic range"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854186","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-9854186","citation_suggestion":"Patentable. \"Methods and apparatus for an images sensor with row-level gain control\" (US-9854186). https://patentable.app/patents/US-9854186","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854186","json":"https://patentable.app/api/llm-context/US-9854186","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T21:10:34.252Z"}