Abstract: An image processing and recording system and an image processing and recording method thereof are provided. An image processing and recording system includes a recording module, an access module, and an identification module. The recording module stores an image which includes N image blocks, and the N image blocks compose M image tiles. The identification module performs an image recognition procedure to identify a predetermined feature of the N image blocks picked up by the access module and generates N identification results. Each result includes an address of the tile in the image corresponding to the Kth image block, a corresponding address of the Kth image block in the image tile and whether the Kth image block has the predetermined feature. Thus, the access module can pick up the image blocks having the predetermine feature to perform a next image recognition procedure.

Abstract: The present invention discloses a configure image process system and a configure image process method thereof applicable to a predetermine image process structure. The configure image process system includes N pieces of logic hardware and a control module, wherein N is a positive integer. Each piece of the logic hardware respectively corresponds to an algorithm structure, and the control module connects to each piece of the logic hardware. The control module can selectively apply the N pieces of logic hardware to combine at least one part of the predetermine image process structure to perform the image process.

Abstract: An image processing and recording system and an image processing and recording method thereof are provided. An image processing and recording system includes a recording module, an access module, and an identification module. The recording module stores an image which includes N image blocks, and the N image blocks compose M image tiles. The identification module performs an image recognition procedure to identify a predetermined feature of the N image blocks picked up by the access module and generates N identification results. Each result includes an address of the tile in the image corresponding to the Kth image block, a corresponding address of the Kth image block in the image tile and whether the Kth image block has the predetermined feature. Thus, the access module can pick up the image blocks having the predetermine feature to perform a next image recognition procedure.

Abstract: An image processing method applied to an image processing device is capable of implementing bitstream stitching technique after interrupting image processing process. The image processing method includes steps of processing the i-th slice of N slices in an image to generate a plurality of first processed data; storing the first processed data in a memory unit; once an interrupting request is generated according to a requested process, storing stitching information associated with the last first processed data after processing the i-th slice; stopping processing the image and executing the requested process according to the interrupting request; continuing to process the (i+1)-th slice of the N slices to generate a plurality of second processed data after the requested process is finished; and storing the second processed data after the last first processed data in the memory unit according to the stitching information.

Abstract: An processing method is used for processing an image file of an image, in which the image is divided into a plurality of image blocks, and at least one row of the minimum coded units sequentially define the image as a plurality of bands. The processing method includes the following steps. An image file of an image is supplied, in which the image file includes a bit stream and exchangeable image file (EXIF) data. A band indicator of the EXIF data is read according to an expanded range. A segment in the bit stream corresponding to a band encompassed by the expanded range is decoded according to the read band indicator corresponding to the band of the expanded range, so as to obtain the band.

Abstract: A processing method for image file includes the following steps. An image file of an image is obtained, in which the image file includes a bit stream and an Exchangeable Image File (EXIF) data. A band indicator and a minimum coded unit (MCU) indicator are read according to an expanded range. A referential DC coefficient is obtained according to a hybrid direct current (DC) coefficient corresponding to a first MCU covered by the expanded range. A sub-clip of the MCU covered by the corresponding expanded range in the bit stream is decoded according to the read band indicator, the MCU indicator and the referential DC coefficient, so as to obtain at least one MCU.

Abstract: A processing method for image file includes the following steps. An image file of an image is obtained, in which the image file includes a bit stream and an Exchangeable Image File (EXIF) data. A band indicator and a minimum coded unit (MCU) indicator are read according to an expanded range. A referential DC coefficient is obtained according to a hybrid direct current (DC) coefficient corresponding to a first MCU covered by the expanded range. A sub-clip of the MCU covered by the corresponding expanded range in the bit stream is decoded according to the read band indicator, the MCU indicator and the referential DC coefficient, so as to obtain at least one MCU.

Abstract: An image processing method applied to an image processing device is capable of implementing bitstream stitching technique after interrupting image processing process. The image processing method includes steps of processing the i-th slice of N slices in an image to generate a plurality of first processed data; storing the first processed data in a memory unit; once an interrupting request is generated according to a requested process, storing stitching information associated with the last first processed data after processing the i-th slice; stopping processing the image and executing the requested process according to the interrupting request; continuing to process the (i+1)-th slice of the N slices to generate a plurality of second processed data after the requested process is finished; and storing the second processed data after the last first processed data in the memory unit according to the stitching information.

Abstract: A method for an image adjustment is disclosed. The method comprises the steps of: reading an interested pixel and its plural neighboring pixels from an image storage device; determining a so-called first gradient value of the first direction and a so-called second gradient value of the second direction, wherein the first direction is the orthogonal direction of the second direction; comparing the first and the second gradient values; executing a sharpness adjustment to the interested pixel along the direction which has larger gradient value; then executing a noise reduction or smoothing adjustment to the interested pixel along the direction which has smaller gradient value; and repeating the steps until all interested pixels are processed and obtaining a new pixel value.

Abstract: An processing method is used for processing an image file of an image, in which the image is divided into a plurality of image blocks, and at least one row of the minimum coded units sequentially define the image as a plurality of bands. The processing method includes the following steps. An image file of an image is supplied, in which the image file includes a bit stream and exchangeable image file (EXIF) data. A band indicator of the EXIF data is read according to an expanded range. A segment in the bit stream corresponding to a band encompassed by the expanded range is decoded according to the read band indicator corresponding to the band of the expanded range, so as to obtain the band.

Abstract: A false color suppression method for a digital image is described. The method is performed in a digital camera, for suppressing the false color of the digital image shot by the digital camera. The method includes separating a luminance part and a chrominance part of a digital image; extracting the chrominance part, and calculating a first color gamut component and a second color gamut component in the chrominance part; setting a critical value according to a photosensitivity during shooting by the digital camera; performing a corresponding pixel uniformization action on the pixel according to a relation between a difference between the pixel and adjacent neighboring pixels and the critical value respectively for the first color gamut component and the second color gamut component; and combining the uniformized chrominance part and the luminance part of the digital image to a suppressed image.

Abstract: A false color suppression method for a digital image is described. The method is performed in a digital camera, for suppressing the false color of the digital image shot by the digital camera. The method includes separating a luminance part and a chrominance part of a digital image; extracting the chrominance part, and calculating a first color gamut component and a second color gamut component in the chrominance part; setting a critical value according to a photosensitivity during shooting by the digital camera; performing a corresponding pixel uniformization action on the pixel according to a relation between a difference between the pixel and adjacent neighboring pixels and the critical value respectively for the first color gamut component and the second color gamut component; and combining the uniformized chrominance part and the luminance part of the digital image to a suppressed image.

Abstract: A method for an image adjustment is disclosed. The method comprises the steps of: reading an interested pixel and its plural neighboring pixels from an image storage device; determining a so-called first gradient value of the first direction and a so-called second gradient value of the second direction, wherein the first direction is the orthogonal direction of the second direction; comparing the first and the second gradient values; executing a sharpness adjustment to the interested pixel along the direction which has larger gradient value; then executing a noise reduction or smoothing adjustment to the interested pixel along the direction which has smaller gradient value; and repeating the steps until all interested pixels are processed and obtaining a new pixel value.