Polaroid Corporation

Other

Senshin Capital, LLC

Michael L Reisch

Munib A Wober

Ibrahim Hajjahmad

Yibing Yang

Lon E Sunshine

Stephen J Telfer

William T Vetterling

Suhail Shabbir Saquib

Jay E Thornton

Alain Bouchard

Brian David Busch

Michael S Viola

Daniel P Bybell

Dana Frederic Schuh

Martin A Agulnek

Anemarie DeYoung

Joseph M Canter

F Richard Soini

Sandra B Lawrence

Dana F Schuh

A thermal printer is disclosed which includes a plurality of thermal print heads, each of the plurality of thermal print heads being operable to print a distinct one of a plurality of colors. The plurality of thermal print heads may print output at a plurality of spatial resolutions. The thermal printer may include dot size varying means for varying perceived levels of color printed by the thermal printer by varying sizes of dots printed by the plurality of thermal print heads. The printer may perform various image processing steps on an image to be printed, such as tone scale adjustment, thermal history control, and common mode voltage correction, to improve the perceived quality of the printed image. The thermal printer may be incorporated into a digital photo-printing vending machine for printing images provided by a customer.

High speed photo-printing apparatus

A method and apparatus are disclosed for converting frequency-coefficient matrices between a configuration in which the matrices are transforms of unoverlapped image-data matrices and a configuration in which the matrices are transforms of overlapped image-data matrices, the image-data matrices comprising image-data terms corresponding to pixels from an original image, the method comprising the steps of: deriving a conversion matrix; transposing the conversion matrix; matrix multiplying a first frequency-coefficient matrix of one configuration by the conversion matrix; matrix multiplying a second frequency-coefficient matrix of the same configuration by the transpose conversion matrix; and combining the product results to form a matrix formatted in the other configuration.

Method and apparatus for conversion of frequency-coefficient matrices

A method or system for structuring an image which corresponds to an original array of pixels, as a forward discrete even cosine transform (DCT) pyramid having a predetermined number of levels where each level is associated with a different DCT frequency band, includes, respectively, the steps or functionality of: partitioning the original array into blocks of overlapped pixels; taking a DCT of each block of overlapped pixels to generate blocks of first level DCT coefficients forming a first level of the DCT pyramid; storing the first level of the DCT pyramid; selecting and storing at least one of the first level DCT coefficients of each block of first level DCT coefficients into a first temporary array; partitioning the first temporary array into blocks of overlapped coefficients; and taking a DCT of each block of overlapped coefficients of the first temporary array to generate blocks of second level DCT coefficients forming a second level of the DCT pyramid. Additional levels can be created by repeating the previous steps, and the processed image can be restored by reversing the above sequence of steps using inverse discrete even cosine transforms.

Structuring a digital image into a DCT pyramid image representation

An image processing system for sample rate conversion of an image signal representing an image of pixels from a first sample rate to a second sample rate includes: an image acquisition device for acquiring the image signal from an image signal source at the first sample rate; a first memory for buffering the input signal; a second memory for storing predetermined discrete cosine transform coefficients; a dot product multiplier for multiplying the image signal retrieved from the first memory times the predetermined coefficients to produce an output signal at the second sampling rate; a third memory for buffering the output signal; control sequencer logic for controlling operation of the image processing system; and an output device for providing a resampled image at the second sampling rate from the output signal. The image processing system facilitates sample rate conversion by segmenting the image into segments of image data points wherein a separate and different offset is determined for each segment. A discrete cosine transform is performed on each segment of image data points to generate corresponding DCT coefficients. Thereafter, resampled image data points are generated by taking a modified IDCT of the DCT coefficients using a modified IDCT basis matrix which is dependent upon a sampling rate conversion ratio and/or an offset.

System and method for sample rate conversion of an image using discrete

Full color resolution of an image is realized by reconstructing an array of image data points from an image signal representing the image into a shifted array of pseudo pixels. The particular grid type of the array will dictate whether color recovery uses only vertical resolution, only horizontal resolution, vertical resolution followed by horizontal resolution, or horizontal resolution followed by vertical resolution. For each color channel, interpolation of missing color components is accomplished by first, taking a DCT of the image data points, then taking a modified IDCT of the DCT coefficients.

System and method for color recovery using discrete cosine transforms

Image processing methods and apparatus by which images in the spatial domain can be represented in the frequency domain through the use of discrete cosine transforms, conveniently operated on to achieve scaling and filtering effects while in the frequency domain, and then retransformed to the spatial domain or stored, displayed, reproduced or transmitted to distant locations for subsequent reuse. The scaling techniques which the invention utilizes can be for image enlargement by interpolation or image reduction by decimation. In the case of decimation, a filtering operation preferably is first performed in the frequency domain to avoid artifacts in the decimation process. The filtering operation is mathematically equivalent to a linear convolution in the spatial domain as a consequence of the properties of the DCT transformation. In both interpolation and decimation procedures, use is made of a hybrid inverse discrete cosine transform in which the series of cosine terms are evaluated at values arrived at by scaling ratio considerations, rather than the usual sampling index increments. As a consequence, image data points other than original image data in the spatial domain can be created or replaced by an approximation technique which involves transforming the image data points to frequency space by a series of terms that can be considered to be continuous over the range of the sampling index corresponding to the original image data.

Coding method and apparatus for resampling and filtering images using

The invention relates to a novel process and system for removing noise from an image by first noise modeling an image signal source to generate noise masks and LUT values characteristic of noise at different frequency levels for each channel, and then applying the stored noise masks and LUT values to an image signal for noise removal. The image is first captured as an electronic image signal by the image signal source, then represented by a pyramid structure whereby each successive level of the pyramid is constructed from DC values of the previous level, and each level of the pyramid corresponds to a different frequency band of the image signal. A Wiener variant filter using DCT transforms is used to filter DCT coefficients at each level. The image is restored with reduced noise by replacing DC values with next level IDCT coefficients then performing an IDCT on the results.

Image noise reduction system using a wiener variant filter in a pyramid

The image processing system of the present invention provides electronic edge detection in keeping with ISO/JPEG/MPEG international compression standards for electronic imaging. Specifically, a novel electronic image processing system for edge detection includes: an image acquisition device for acquiring and representing an image as an electronic image signal; a video memory for storing the image signal; a display for displaying the image signal; a raster to block converter for converting the image signal into block format; a DCT/IDCT processor for transforming the converted signal in accordance with predetermined basis matrices stored in a basis matrix memory; a mask multiplier for generating a mask multiplied signal in accordance with predetermined Laplacian matrices stored in an A matrix memory; a buffer for storing the mask multiplied signal; and a controller for controlling the image processing system in accordance with instructions from a central processing unit (CPU).

System and method for image edge detection using discrete cosine

A system for filtering an image during data compression using a standard JPEG compression/decompression chip typically requires a separate spatial filter external to the chip. The spatial filter is composed of numerous shift registers, flip-flops, multipliers and at least one adder. In contrast, an image filtering system which filters in the frequency domain using the inventive JPEG compression chip modified for filtering in the frequency domain does not require the separate spatial filter and its many components. The modified JPEG chip includes a raster to block converter which converts an image signal into 8.times.8 blocks, a DCT processor which converts the 8.times.8 blocks into DCT coefficients, a multiplier which generates filtered DCT coefficients by multiplying predetermined filtering coefficients times the DCT coefficients, a quantizer which generates quantized blocks to a predetermined level stored in a visibility table by quantizing the filtered coefficients, a zigzag scanner which generates a vector having the same number of elements as the quantized blocks, a run-length coder for determining the appropriate run-length according to entropy encoding received from a preloaded Huffman table, and a variable length code packer/unpacker for compressing the entropy encoded vector. A block to raster converter is included to reformat decompressed data.

System for data compression of an image using a JPEG compression circuit

Image coding methods and apparatus employing discrete cosine transforms for supressing and/or reducing blocking artifacts using a JPEG file format. The methods can be implemented on JPEG hardware slightly modified to provide access to discrete cosine transform coefficients. Filtering techniques by which an overlap procedure for implementing the inventive methods are also disclosed.

Image coding by use of discrete cosine transforms

A method for processing a field of image data samples to provide for one or more of the functions of decimation, interpolation, and sharpening is accomplished by use of an array transform processor such as that employed in a JPEG compression system. Blocks of data samples are transformed by the discrete even cosine transform (DECT) in both the decimation and interpolation processes, after which the number of frequency terms is altered. In the case of decimation, the number of frequency terms is reduced, this being followed by inverse transformation to produce a reduced-size matrix of sample points representing the original block of data. In the case of interpolation, additional frequency components of zero value are inserted into the array of frequency components after which inverse transformation produces an enlarged data sampling set without an increase in spectral bandwidth. In the case of sharpening, accomplished by a convolution or filtering operation involving multiplication of transforms of data and filter kernel in the frequency domain, there is provided an inverse transformation resulting in a set of blocks of processed data samples. The blocks are overlapped followed by a savings of designated samples, and a discarding of excess samples from regions of overlap. The spatial representation of the kernel is modified by reduction of the number of components, for a linear-phase filter, and zero-padded to equal the number of samples of a data block, this being followed by forming the discrete odd cosine transform (DOCT) of the padded kernel matrix.

Image reconstruction by use of discrete cosine and related transforms

Apparatus for effecting center pulse width modulation of electronic printer lighter emitting elements is disclosed. The most significaant bit of the energization pulse for the printer light emitting elements is centered and each succeeding less significant bit is divided in half so as to form a mirror image on each side of the centered most significant bit.

Symmetric binary weighted exposure method and apparatus employing center

An electronic imaging system includes a linear LED array for recording on a photosensitive medium an image defined by electronic signal information in binary word format by simultaneously controlling the energization of all the LED's at a constant energy level in a series of intervals, each of which is timed differently to correspond to a different one of the data bits in the binary words which comprise the image defining electronic signal information. Each LED is energized during each interval as a direct function of the state of the data bit corresponding to that interval for that LED.

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Carlisle, MA, United States of America

Michael L Reisch