Samsung Electronics, held its first Samsung Image Sensor Forum 2015 in New Delhi, India, showcasing its latest image sensor products and technologies.
The forum was attended by over 150 experts including partners and customers within the mobile imaging industry, including smartphone manufacturers and partners.
Promoting the theme, "Bring Alive Every Moment," Samsung shared its vision to provide differentiated value amidst the fast evolving trends in smartphone camera use-cases, and strategy in addressing demands pertaining to the India's image sensor market.
"Samsung has been constantly introducing innovative image sensor technologies to deliver optimum performance on today's ever-slimming smart mobile devices," said Kyushik Hong, Vice President of Marketing, System LSI Business at Samsung Electronics.
He added"Gathering with industry leaders in India opens the door to further engagement and facilitates ongoing communication with ecosystem partners in supporting image sensor demands in India."
At this year's inaugural event, Samsung demonstrated its latest mobile image sensor technologies including the smallest 1.0μm-pixel sensor, RWB (Red-White-Blue) color pattern technology, and PDAF (Phase Detection Auto-Focus), which will further strengthen the company's product portfolio in well performing and rapidly emerging India mobile market.
The 1.0μm pixel-based image sensor adopts Samsung's proprietary ISOCELL technology, which reduces crosstalk between neighboring pixels, and delivers superb color fidelity even with such minuscule pixels.
The RWB color pattern is a solution that delivers sharper images in low-light settings, such as indoors, by enhancing light sensitivity and color fidelity.
RWB refers to a configuration of color pattern filters that places pixels in the order of Red-White-Blue, and uses white color pixels instead of the typical green RGB patterns.
Another advanced feature is the PDAF solution that enables much faster focusing in image sensors.
Utilizing the technology, an image sensor can quickly detect phase differences of perceived light, whereas conventional solutions need to constantly compare the subject's contrast levels.