Abstract: An electronic imaging system operates as closely as possible to the cone spectral response space to obtain a human eye-like long, medium, short (LMS) wavelength response. An input image, for example, red-green-blue (RGB), is transformed to an LMS color space similar to the human long-, middle-, and short-wavelength cone receptor responses. Adaptation levels for each LMS component are calculated. The adaptation levels are then used to adjust the sensitivity of each LMS sensor response to obtain an LMS component image. The LMS component image then is transformed back to an RGB component image for further processing or display.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: A method and system for adjusting saturation in digital images that operates as closely as possible to the long-, medium-, short-(LMS) cone spectral response space. According to the method, a sensor component image such as an RGB image from a digital imager is input and converted to the LMS space. White point adaptation and equalization are performed on the LMS data. The saturation adjustment is then performed by applying a stretching transformation to the L and S LMS components with respect to the M component of each pixel.

Abstract: An electronic imaging system operates as closely as possible to the cone spectral response space to obtain a human eye-like long, medium, short (LMS) wavelength response. An input image, for example, red-green-blue (RGB), is transformed to an LMS color space similar to the human long-, middle-, and short-wavelength cone receptor responses. Adaptation levels for each LMS component are calculated. The adaptation levels are then used to adjust the sensitivity of each LMS sensor response to obtain an LMS component image. The LMS component image then is transformed back to an RGB component image for further processing or display.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: A method and system for estimating motion between a reference image and a search image of a video image sequence. Motion vectors are determined for pixel blocks of the reference image of the video image sequence. The major modes of the motion vectors for the reference image are identified and used for determining each pixel block of the reference image, if a better match can be made based on the major modes of the motion vectors.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: A method and apparatus of identifying the source of materials in a video sequence is disclosed. A series of pseudo frames is formed, for example by interleaving, from fields in adjacent frames. A correlation value is calculated for each of the pseudo frames. The correlation value may be a sum of absolute difference (SAD) of luminance values of every neighboring scan line accumulated over the entire pseudo frame. Scene changes may be determined, for example, based on the correlation values. Frames and repeated fields are identified based on the correlation values and the scene changes. Finally, the source of each frame in the series is identified based on the identification of frames and repeated fields.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: A motion compensation improvement for a compression encoder minimizes redundant edge information in a current image from a video input signal being input to the compression encoder. The current image is compared with a reference image from the video signal, which images may be the entire picture or a sub-region of the picture, to provide a spatial shift difference between the images, the spatial shift difference having an integer part and a high precision fractional part. From the high precision fractional part and specified constants for the compression encoder a shift value is calculated such that, when shifted, the current image is aligned with a quantizer motion vector grid in the compression encoder. The shift value is then used to resample the current image to make the desired shift prior to input to the compression encoder, thereby minimizing redundant edge information.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: Human vision based pre-processing for MPEG video compression uses light intensity. An input video signal is input to a contrast gain control circuit where a Gaussian pyramid is constructed. The reduced pyramid image serves as a local light level. The reduced pyramid image also is processed to obtain a global light center. The difference between the local light level and the global light center is used as an index to a lookup table that provides a local gain control signal. The local gain control signal and a global gain control signal input to the contrast gain control circuit are used to multiply a Laplacian image derived from the input image, the resulting modified Laplacian image being subtracted from an equivalent lowpass filtered video image to produce a pre-processed output video signal having reduced bandwidth for input to an MPEG2 compressor.

Abstract: An electronic imaging system operates as closely as possible to the cone spectral response space to obtain a human eye-like long, medium, short (LMS) wavelength response. An input image, for example, red-green-blue (RGB), is transformed to an LMS color space similar to the human long-, middle-, and short-wavelength cone receptor responses. Adaptation levels for each LMS component are calculated. The adaptation levels are then used to adjust the sensitivity of each LMS sensor response to obtain an LMS component image. The LMS component image then is transformed back to an RGB component image for further processing or display.

Abstract: A technique for image alignment with global translation and linear stretch determines translation parameters for three corresponding linearly displaced blocks in a reference image and a corresponding distorted test image. From the differences between the translation parameters for the three blocks the presence of stretch is detected and, if detected, a stretch factor is estimated. The estimated stretch factor is used as a starting point to stretch the reference image to overlap the distorted test image as a refinement process. The resulting refined stretch factor is then used in a reverse stretch process to shrink the distorted test image, and the distorted test image is then aligned with the reference image to obtain picture quality metrics.

Abstract: A static content addressable memory (CAM) cell. The CAM cell includes a latch having complementary data nodes capacitively coupled to ground, first and second access transistors, each coupled between a data node of the latch and a respective data line. The gates of each access transistor is coupled to a word line such that when activated, the respective data node and data line are coupled. The CAM cell further includes a match circuit coupled to one of the complementary data nodes of the latch. The match circuit discharges a match line in response to a data value stored at the data node to which the match circuit is coupled and compare data present on the respective data line mismatching. Two of the CAM cells can be used to implement a full ternary CAM cell.

Abstract: An adaptive multi-modal motion estimation algorithm for video compression builds a luminance pyramid for each image of a moving image sequence. From the top level image of the luminance pyramid a global motion vector is determined between images at times t and t+n. The global motion vector is used as a pivot point and to define a search area. For each block of a current top level image a search for a match is carried out around the pivot point within the search area. The resulting block motion vectors serve as initial conditions for the next higher resolution level. A refinement process results in a displaced frame difference value (DFD) for each block as an error measure. If the error measure is small, the motion vector is chosen as the motion vector for the current block. If the error measure is large, then a search within the search area around a zero motion pivot point is conducted. The motion vector that results in the smallest error measure is chosen as the motion vector for the current block.

Abstract: A method and system for estimating motion between a reference image and a search image of a video image sequence. Motion vectors are determined for pixel blocks of the reference image of the video image sequence. The major modes of the motion vectors for the reference image are identified and used for determining each pixel block of the reference image, if a better match can be made based on the major modes of the motion vectors.