A DVP-Based Bridge Architecture to Randomly Access Pixels of High-Speed Image Sensors

نویسندگان

  • Tareq Hasan Khan
  • Khan A. Wahid
چکیده

A design of a novel bridge is proposed to interface digital-video-port (DVP) compatible image sensors with popular microcontrollers. Most commercially available CMOS image sensors send image data at high speed and in a row-by-row fashion. On the other hand, commercial microcontrollers run at relatively slower speed, and many embedded system applications need random access of pixel values. Moreover, commercial microcontrollers may not have sufficient internal memory to store a complete image of high resolution. The proposed bridge addresses these problems and provides an easy-to-use and compact way to interface image sensors with microcontrollers. The proposed design is verified in FPGA and later implemented using CMOS 0.18 um Artisan library cells. The design costs 4,735 gates and 0.12mm2 silicon area. The synthesis results show that the bridge can support a data rate up to 254megasamples/sec. Its applications may include pattern recognition, robotic vision, tracking system, and medical imaging.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

متن کامل

Derivative Variation Pattern for Illumination-invariant Image Representation

This paper presents a novel image descriptor called Derivative Variation Pattern (DVP) and its application to face and palmprint recognition. DVP captures image variations in both the frequency and the spatial domains. The effects of uncontrolled illumination are compensated in the frequency domain by discarding the illumination affected frequencies. Image pixels are encoded as binary patterns ...

متن کامل

A Convolutional Neural Network based on Adaptive Pooling for Classification of Noisy Images

Convolutional neural network is one of the effective methods for classifying images that performs learning using convolutional, pooling and fully-connected layers. All kinds of noise disrupt the operation of this network. Noise images reduce classification accuracy and increase convolutional neural network training time. Noise is an unwanted signal that destroys the original signal. Noise chang...

متن کامل

Lossless Microarray Image Compression by Hardware Array Compactor

Microarray technology is a new and powerful tool for concurrent monitoring of large number of genes expressions. Each microarray experiment produces hundreds of images. Each digital image requires a large storage space. Hence, real-time processing of these images and transmission of them necessitates efficient and custom-made lossless compression schemes. In this paper, we offer a new archi...

متن کامل

Normalized Model of Traffic Light Traits Based on Colored Pixels

Nowadays, because of the growing numbers of vehicles on streets and roads, the use of intelligent controlsystems to improve driving safety and health has become a necessity. To design and implement suchcontrol systems, having information about traffic light colors is essential. There are the wide variety oftraffic lights in terms of light intensity and color. Therefore it seems that design and ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • EURASIP J. Emb. Sys.

دوره 2011  شماره 

صفحات  -

تاریخ انتشار 2011