| Patent application number | Description | Published |
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| 20080246999 | INK SAVING AND TONE CORRECTION PRINTING TECHNIQUE USING ERROR DIFFUSION - An ink saving and tone correction printing technique using error diffusion (EDF) includes receiving a first pixel value v | 10-09-2008 |
| 20100027842 | OBJECT DETECTION METHOD AND APPARATUS THEREOF - An object detection method and an apparatus thereof are provided. In the object detection method, a plurality of images in an image sequence is sequentially received. When a current image is received, a latest background image is established by referring to the current image and the M images previous to the current image, so as to update one of N background images, wherein M and N are positive integers. Next, color models of the current image and the background images are analyzed to determine whether a pixel in the current image belongs to a foreground object. Accordingly, the accuracy in object detection is increased by instantly updating the background images. | 02-04-2010 |
| 20100061647 | IMAGE COMPRESSION METHOD AND DEVICE THEREOF - An image compression method and a device thereof are provided. In the image compression method, a block image having a plurality of pixels is received. In the block image, an adjusted value of a first pixel is compared with a threshold value, and the adjusted value of the first pixel is accordingly quantized as a first parameter value or a second parameter value so as to obtain a quantized value of the first pixel. Next, an error value between the adjusted value of the first pixel and the quantized value of the first pixel is distributed to at least one second pixel adjacent to the first pixel according to an error diffusion kernel. The first pixel and the second pixel are respectively one of the above pixels. Therefore, the quality of the compressed image is improved and the influence of the blocking effect is reduced. | 03-11-2010 |
| 20100067812 | IMAGE COMPRESSION METHOD USING BLOCK TRUNCATION CODING - An image compression method is provided. First, an image including a plurality of blocks is received and each block includes a plurality of pixels. Next, an order dithering array within a preset range is generated, which includes a plurality of elements. Then, values of the elements in the order dithering array are respectively mapped to a plurality of mapping values according to a gray scale range of each block. In each block, each pixel value is quantized to a first digital value or a second digital value according to a result of comparing each pixel value with the corresponding mapping value. Hence, a bit rate of the image is efficiently compressed, and features of the original image are preserved inside the compressed image. | 03-18-2010 |
| 20110058188 | IMAGE PROCESSING METHOD COMBINING COMPRESSION AND WATERMARK TECHNIQUES - An image processing method combining compression and watermark techniques is provided. In the method, a block is taken as a unit, and two ordered dither arrays mutually conjugate are used to code an original image, so as to insert information of a watermark into the original image during the coding process. Accordingly, the method generates a compressed image gives consideration to the compression ratio, the image quality and the data safety. On the other hand, the method also provides a procedure to extract the watermark from the compressed image, in order to verify whether the compressed image has been modified illegally. | 03-10-2011 |
| Patent application number | Description | Published |
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| 20100033764 | DIGITAL HALFTONING METHOD UTILIZING DIFFUSED WEIGHTING AND CLASS MATRIX OPTIMIZATION - The present invention discloses a digital halftoning method. The method comprises steps of: (a1) dividing an original image into non-overlapping blocks; (a2) obtaining a Least-Mean-Square trained (LMS-trained) filter by comparing at least a training image and a halftone result corresponding to the training image (a3) optimizing a class matrix with the LMS-trained filter, which involves the diffused area and the diffused weightings; and (a4) processing the non-overlapping blocks by performing a dot diffusion procedure with the optimized class matrix and the diffused weightings to generate a halftone image corresponding to the original image. A detailed class matrix optimizing method as in the above-mentioned step (a3) is also disclosed. | 02-11-2010 |
| 20100061585 | BLIND WAVELET-BASED WATERMARKING METHOD - A blind wavelet-based watermarking method is provided to extract one or more embedded watermarks form one or more high subbands of a watermarked image generated by 1-level or 2 level wavelet transform. One or more least-mean-square (LMS) filters are trained to predict the data sets in the high subbands of an original image by converting a low subband of the watermarked image. Therefore, the one or more embedded watermarks could be extracted by comparing the predicted data sets in the high subbands with data sets in corresponding subbands of the watermarked image. | 03-11-2010 |
| 20100067057 | Method of halftone watermarking for hiding multi-tone watermark or two-tone watermark - A method is performed to hide a watermark in two halftone images or in a single halftone image. The halftone image contains information of the hidden watermark, and each pixel value of the halftone image is associated with a corresponding offset value. The offset value is determined according to a corresponding pixel value of the watermark and a corresponding pixel value of another halftone image. The offset value is used to compensate a corresponding input value and a corresponding original error value of the halftone image. | 03-18-2010 |
| 20110051995 | IMAGE DATA PROCESSING SYSTEMS FOR HIDING SECRET INFORMATION AND DATA HIDING METHODS USING THE SAME - A system for hiding secret data in halftone images is disclosed. The system includes an image input module, a halftoning processing module and an image output module. The image input module reads an original image data and a secret image data. The halftoning processing module is coupled to the image input module and receives the original image data and the secret image data, performs a first error diffusion process to the original image to generate a first halftone image and performs a second error diffusion process to the original image data and the secret image data to generate a second halftone image. The image output image module is coupled to the halftoning processing module and outputs the first halftone image and the second halftone image, wherein the second error diffusion process comprises adding or subtracting a variable noise strength to or from each pixel of the secret image. | 03-03-2011 |
