Image processing method and apparatus which iteratively divides image data into sub-regions

TL;DR: In this article, an image processing apparatus and method which can efficiently compress an image while maintaining high image quality, and a storage medium for implementing the method is presented. But this method is limited to text detection.

TL;DR: In this paper, a digital copying machine 10 having a capability of functioning as an image recognition apparatus detects a character region from input image data and obtains character code data by recognizing character images in the character region.

TL;DR: In this article, an attentional portion to be corrected in gradation of an image is specified, and a gradation corrective function with respect to a density of the specified attentional part is generated.

TL;DR: A character line recognition method for processing image data obtained by scanning a character line on a medium to recognize the character line may include processing the image data into monochrome binary format image data by using a predetermined binarization standard threshold as mentioned in this paper.

TL;DR: In this article, the image data is subdivided into a plurality of blocks each including a predetermined number of pixels, and a domain recognition is conducted to determine whether the block is a binary block or a halftone block.

TL;DR: In this article, a process and system for processing a digitally stored image on a digital computer is described, which scans and digitizes an image, separate text from non-text components, enhances and deskews the image, compresses the resulting image file, and stores the enhanced, deskewed, and compressed file for later transmission, optical character recognition, or high quality printing or viewing of the image.

TL;DR: In this paper, a method for reducing an image of a character or word string to one or more one dimensional signals, including the steps of determining page orientation, isolating character strings from adjacent character strings, establishing a set of references with respect to which measurements about the character string may be made, and deriving a plurality of measurements in terms of one dimensional signal, is presented.

TL;DR: In this article, a discriminator is used to determine whether the received image data are either simple binary image data binarized using one threshold value or pseudo half-tone image data including halftone information binarised using a plurality of threshold values, based on the received discrimination signal.