Csr Technology Inc.

Zoran Corporation

Itsik Dvir

Victor Pinto

Meir Tzur

Ben-Zion Shaick

Gal Ben-David

Yonatan Shlomo Simson

Embodiments are directed towards compressing an image to substantially a preset file size using statistical information obtained from a single subset of the image and an initial compression of the single subset. A representative subset portion of the image is selected based in part on a clustering analysis of the image. The representative subset is then compressed, in one embodiment, twice, in order to obtain statistics useable for the entire image. A scale factor is then determined that may be used in the quantization and for creating a Bit Rate Control (BRC) curve that represents an amount of accumulated bits per Minimal Codec Unit (MCU). During the compression process, the BRC curve is used to prevent accumulating bits from over shooting a final preset file size target.

Zero pass JPEG bit rate controller

The described methods and corresponding apparatus are for use in highlight recovery in a set of image data. The image data is inverted, treated by a digital lighting process, the subsequently inverted again. This allows the set of data image to be treated for dynamic range compression of detail in both the dark regions and the light regions by the same algorithm. In other words, the process applied to the dark regions can be performed by a correction algorithm and the process applied to the light regions performed by the same algorithm, but with the image data negated before and after the correction algorithm is applied.

Highlight recovery using digital lighting module

The likelihood of a particular type of object, such as a human face, being present within a digital image, and its location in that image, are determined by comparing the image data within defined windows across the image in sequence with two or more sets of data representing features of the particular type of object. The evaluation of each set of features after the first is preferably performed only on data of those windows that pass the evaluation with respect to the first set of features, thereby quickly narrowing potential target windows that contain at least some portion of the object. Correlation scores are preferably calculated by the use of non-linear interpolation techniques in order to obtain a more refined score. Evaluation of the individual windows also preferably includes maintaining separate feature set data for various positions of the object around one axis and rotating the feature set data with respect to the image data for the individual windows about another axis.

Detecting objects in an image being acquired by a digital camera or other electronic image acquisition device

Video data that includes a plurality of images acquired over time are processed in an apparatus immediately after acquiring the video data, or during some later post-processing of the video data, to reduce the effects of unintended motion in the acquired images. Coarse and fine compensation for motion is performed on video frames that correspond to the acquired images. A coarse compensation value is employed to compress each video frame that is both coarse and fine motion compensated.

Processing of video data to compensate for unintended camera motion between acquired image frames

A local method uses a cascade of multiple nonlinear edge preserving filters, and nonlinear pixel point operations, to calculate the pixel gain. Multiple low-pass filters are used, being applied to surrounding neighborhoods of the current pixel of narrow and of wide extent. The number of filter stages may be determined based on the image content. The coefficients used to combine a gray level image extracted from the input image with the ascending scale regions can be automatically extracted from high-pass filtered images of the ascending scale regions. Multiplying each color component of the input image by one or more pixel dependent gain or attenuation factors, using a nonlinear mapping function that can lighten shadow regions as well as darken bright regions, generates the output image.

Dynamic range compensation by filter cascade

Video data of successive image frames are processed in a digital camera or other video image data acquisition device immediately after acquiring the video data, or during post-processing of the video data at some time after acquiring the video data, to reduce the effects of unintended motion (jitter) of the hand-held devices by stabilizing the images. A processing circuit used to calculate an estimate of motion between components of successive image frames as part of a MPEG-4 or other compression algorithm is also used to estimate motion upon which the video data are altered to stabilize the images. The individual images may be pre-stabilized by using the results of stabilizing a prior image in order to reduce the amount of processing necessary to stabilize a current image.

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Haifa, Israel

Itsik Dvir