Zoran Corporation

About: Zoran Corporation is a based out in . It is known for research contribution in the topics: Signal & Pixel. The organization has 241 authors who have published 205 publications receiving 4901 citations.

A CMOS smart temperature sensor with a 3/spl sigma/ inaccuracy of /spl plusmn/0.1/spl deg/C from -55/spl deg/C to 125/spl deg/C

Abstract: A low-cost temperature sensor with on-chip sigma-delta ADC and digital bus interface was realized in a 0.5 /spl mu/m CMOS process. Substrate PNP transistors are used for temperature sensing and for generating the ADC's reference voltage. To obtain a high initial accuracy in the readout circuitry, chopper amplifiers and dynamic element matching are used. High linearity is obtained by using second-order curvature correction. With these measures, the sensor's temperature error is dominated by spread on the base-emitter voltage of the PNP transistors. This is trimmed after packaging by comparing the sensor's output with the die temperature measured using an extra on-chip calibration transistor. Compared to traditional calibration techniques, this procedure is much faster and therefore reduces production costs. The sensor is accurate to within /spl plusmn/0.5/spl deg/C (3/spl sigma/) from -50/spl deg/C to 120/spl deg/C.

The microstructure of rapidly solidified Al 6 Mn

Abstract: The microstructure of rapidly solidified Al−Mn alloys containing 18 to 25.3 wt pct Mn was studied by transmission electron microscopy. One of the phases found in the microstructure exhibits icosahedral symmetry manifested in electron diffraction patterns having five-fold symmetry. A new structural concept is proposed to account for the observed electron diffraction patterns. The structure is assumed to be composed of many connected polyhedra. Although not forming a regular lattice, such structures are able to produce sharp diffraction peaks. The terminal stability and transformation of the icosahedral phase was also studied and reported.

Automatic Image Segmentation by Dynamic Region Growth and Multiresolution Merging

Abstract: Image segmentation is a fundamental task in many computer vision applications. In this paper, we propose a new unsupervised color image segmentation algorithm, which exploits the information obtained from detecting edges in color images in the CIE L*a*b* color space. To this effect, by using a color gradient detection technique, pixels without edges are clustered and labeled individually to identify some initial portion of the input image content. Elements that contain higher gradient densities are included by the dynamic generation of clusters as the algorithm progresses. Texture modeling is performed by color quantization and local entropy computation of the quantized image. The obtained texture and color information along with a region growth map consisting of all fully grown regions are used to perform a unique multiresolution merging procedure to blend regions with similar characteristics. Experimental results obtained in comparison to published segmentation techniques demonstrate the performance advantages of the proposed method.

Electronically programmable gate array having programmable interconnect lines

Abstract: An electronically programmable gate array comprises a plurality of rows of logic cells with each cell having a plurality of inputs, at least one output, and a plurality of electronically programmable voltage levels for configuring the cell. A plurality of sets of interconnect lines are formed in the array with one set of interconnect lines provided between adjacent rows of logic cells with electronically programmable contacts connecting inputs and an output of each cell in a row of cells with two adjacent sets of interconnect lines. Each row of logic cells preferably includes alternating three-input cells and two-input cells. Each electronically programmable voltage level comprises two voltage alterable resistors serially connected between first and second voltage potentials. Each electronically programmable interconnect comprises a voltage alterable resistor.

Dynamic Identification and Correction of Defective Pixels

Abstract: Rather than storing a table within a digital camera or other optical device of defective pixels within its image sensor, defective pixels are dynamically identified by comparing the output values of individual pixels under test with those of neighboring pixels. If the neighbors are all above or below the pixel under test by a defined threshold amount, the output of the pixel under test is replaced with a value calculated from the outputs of neighboring pixels.