According to an aspect of the invention, there is provided a method comprising detecting a defect of a pattern formed on the photo mask, acquiring a pattern image of a first region on the photo mask, extracting a pattern contour from the pattern image to acquire pattern contour extracted data, producing first graphic data based on the pattern contour extracted data and a pixel size, acquiring pattern data including the first region and corresponding to a second region from design data, producing second graphic data from the pattern data, replacing the second graphic data with the first graphic data to produce third graphic data only in a region where the first graphic data is superimposed upon the second graphic data, producing transfer patterns of pattern shapes represented by the second and third graphic data, and comparing the transfer patterns to judge whether or not the defect needs to be corrected.

Method of manufacturing photo mask, mask pattern shape evaluation apparatus, method of judging photo mask defect corrected portion, photo mask defect corrected portion judgment apparatus, and method of manufacturing a semiconductor device

Disclosed is a discrete wavelet transform (DWT) unit for encoding and decoding still images based on the energy of each block. The DWT unit includes an energy calculating section for calculating energy of an input image in unit of a block having a predetermined number of pixels, an image decomposing section for performing three-level decomposition of the image of the block by decomposing a band at which a low frequency component is distributed three times, and a coefficient substituting section for substituting 0 (zero) for bands at which a high frequency component is distributed among the three-level decomposed bands.

Discrete wavelet transform unit and method for adaptively encoding still image based on energy of each block

The present invention teaches a method of compressing still images in a multi-purpose compression system. The current invention teaches preprocessing of the images to a YUV 4:2:0 format and decomposing the images using two-dimensional Discrete Wavelet Transformation. The current invention teaches that filters may be selected based on image dimensions. After the image is decomposed, the frequency coefficients are quantized and the data is entropy encoded. The image is restored by reversing the compression process.

Method, apparatus and system for compressing still images in multipurpose compression systems

A method for interpolating images using continuous extension functions of inverse discrete transformation is described. The method comprises defining at least one block of an image dataset and calculating and storing forward discrete orbit function transform coefficients representing the at least one block. The method involves defining a first and second different spatial resolution and calculating a first processed image dataset using at least one continuous extension of discrete orbit function transform representing said at least one block using the stored discrete orbit function transform coefficients and the first different spatial resolution. A second processed image dataset is calculated using at least one continuous extension of discrete orbit function transform representing said at least one block using the stored discrete orbit function transform coefficients and the second different spatial resolution.

Continuous extension of discrete transform for data processing

The present invention relates to a method of preparing print ready data. The method is adapted for converting first device specific print data for printing a multicoloured print job calorimetrically adapted to a first printing device or set of colorants, e.g. inks or toners, to print data calorimetrically adapted for a second printing device or set of colorants. The method comprises processing the data equally fast or faster than the print speed. The latter may be performed during printing, such that no halts are needed in between print jobs and the printing speed is mainly determined by the speed of the printing engine. The invention also relates to a corresponding system.

Color conversion method and system

Two-dimensional blocks of line-work image data are subjected to: fractal reordering; run length encoding of the pixel values of the fractal re-ordered data, index encoding of the run length encoded pixel values; and entropy encoding of the index encoded pixel values and run lengths. This lossless, but in case of applying a quantisation step, lossy image data compression and decompression method is particularly suitable for handling image data in a printer environment, and more particularly for handling image data comprising line work data or both raster images and line work data.

Koen Van Hulle

Papers

Image data compression