In the introductory essay to last Thursday's Embedded Vision Insights newsletter, and in speaking of Nokia's new cameraphone, I wrote: The Nokia 808 contains a 41 Mpixel image sensor (no, that's not a typo), notable not only for its high resolution but also for its relatively relaxed 1.4 um pixel pitch, the latter translating into […]
Image Sensor ISO: A ‘Where Does Noise Come From’ Tutorial Show Read More +
Kudos to EDN Magazine's Margery Conner for "tweeting" me a heads-up about a Samsung announcement at the recent ISSCC (International Solid State Circuits Conference), originally covered by Nikkei Business Publications' Tech-On! and later also picked up by Gizmodo, The Verge and TechCrunch. At first glance, the image sensor above may look like a convention Bayer-patterned
Time Of Flight: Samsung’s New RGB Image Sensor Also Has Depth Sight Read More +
Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow. Gene, who has been with the company for nearly 40 years, did his early work with DSPs in association with the Speak & Spell speech synthesizer. In this two-part series, Gene and Brian discuss the history of the DSP both
Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part One Read More +
Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow. Gene, who has been with the company for nearly 40 years, did his early work with DSPs in association with the Speak & Spell speech synthesizer. In this two-part series, Gene and Brian discuss the history of the DSP both
Embedded Vision Alliance Conversation with Gene Frantz of Texas Instruments, Part Two Read More +
by Dong-Ik Ko and Gaurav Agarwal Texas Instruments This article was originally published in the December 2011 issue of Embedded Systems Programming. Gesture recognition is the first step to fully 3D interaction with computing devices. The authors outline the challenges and techniques to overcome them in embedded systems. As touchscreen technologies become more pervasive, users
Gesture Recognition–First Step Toward 3D UIs? Read More +
As I previously mentioned in a technical article published to the Embedded Vision Alliance site last August, the Bayer Pattern (named after Eastman Kodak's Bryce E. Bayer, its inventor) is by far the most common filter array pattern used with both CCDs and CMOS image sensors. Containing 50% green filters, 25% red filters and 25%
A Six-By-Six Pixel Cluster: Fujifilm Take Another Stab At The Image Sensor Read More +
By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, follows up his premier video in this tutorial series with the discussion of a flexible ISP (image signal processing) implementation using readily available dynamic processing blocks in an FPGA.
Implementing an Image Signal Processing Pipeline using FPGAs Read More +
By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI A diversity of image sensor options are available for your consideration, differentiated both in terms of their fundamental semiconductor process foundations and of their circuit (and filter, microlens and other supplement) implementations. Understanding their respective strengths and shortcomings is critical to making an appropriate product
Selecting and Designing with an Image Sensor: The Tradeoffs You’ll Need to Master Read More +
By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, discusses the benefits of using FPGAs to interconnect with diverse-interface image sensors, and to process the data coming from those sensors.
Using FPGAs to Interface to and Process Data from Image Sensors Read More +
Jeff Bier, Founder of the Embedded Vision Alliance, interviews Jitendra Malik, Arthur J. Chick Professor of EECS at the University of California at Berkeley, on August 17, 2011. Bier and Malik discuss computer vision's history, current status, and future trends. This is part one of a three-part video series. Please click here for part two.
Interview With Professor Jitendra Malik, UC Berkeley, Part One (August 17, 2011) Read More +
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