Abstract: An embodiment of an image enhancement method is introduced for use in an electronic device. An image composed of a plurality of pixel values is first received, and each pixel therein is separated into two channels. The image is further divided into a plurality of blocks. A distribution of a selected channel is determined for each block, which is selected from the two channels. For each pixel, the pixel value of the selected channel is adjusted according to at least one distribution corresponding to at least one neighboring block. For each pixel, the pixel value of the other channel is adjusted according to the adjusted pixel value of the selected channel. As a result, the adjusted image is provided.

Abstract: An embodiment of an image enhancement method is introduced for use in an electronic device. An image composed of a plurality of pixel values is first received, and each pixel therein is separated into two channels. The image is further divided into a plurality of blocks. A distribution of a selected channel is determined for each block, which is selected from the two channels. For each pixel, the pixel value of the selected channel is adjusted according to at least one distribution corresponding to at least one neighboring block. For each pixel, the pixel value of the other channel is adjusted according to the adjusted pixel value of the selected channel. As a result, the adjusted image is provided.

Abstract: An embodiment of an image enhancement method is introduced for use in an electronic device. An image composed of a plurality of pixel values is first received, and each pixel therein is separated into two channels. The image is further divided into a plurality of blocks. A distribution of a selected channel is determined for each block, which is selected from the two channels. For each pixel, the pixel value of the selected channel is adjusted according to at least one distribution corresponding to at least one neighboring block. For each pixel, the pixel value of the other channel is adjusted according to the adjusted pixel value of the selected channel. As a result, the adjusted image is provided.

Abstract: A system and method of driving shutter by an object moving tendency. In this method, an image capture process is performed, wherein a sensor captures a first image of a moving object in a first resolution in the image capture process. Then, a prediction moving module analyzes the first image to acquire a prediction time for the moving object to reach a feature position. Finally, an automatic shutter control process is performed according to the prediction time, and a second image with a second resolution is captured, wherein the value of the second resolution is larger than that of the first resolution. This method automatically captures the second image of the moving object when situated at the feature position by using the prediction moving system to analyze the moving object.

Abstract: An image capturing device and an image capturing method thereof are disclosed. The image capturing device includes an image capturing module and a processing module. The image capturing module captures a plurality of temporary images corresponding to a scene. The processing module sequentially analyzes the temporary images and generates a plurality of analysis results. The processing module dynamically adjusts the sampling time of the image capturing module capturing each temporary image according to the analysis results. Moreover, the processing module selects some of the plurality of temporary images according to the analysis results to integrate images. The image capturing module stops capturing the temporary images based upon a stop signal, and finally a storage image is generated.

Abstract: An image processing device and an image processing method thereof. The image processing device comprises a memory module, an object detection module and a processing module. The memory module is provided for storing a plurality of images captured by a camera module, and the image comprises at least one object. The object detection module retrieves one of the images as a reference image and compares the remaining images with the reference image to locate a region where the object with corresponding contour and color is situated. If the object detection module compares and determines that the object with the corresponding contour and color is situated in different regions of the reference image and the remaining images, the processing module will remove the corresponding object in the reference image or superimpose each corresponding object in the reference image simultaneously.

Abstract: An embodiment of an image enhancement method is introduced for use in an electronic device. An image composed of a plurality of pixel values is first received, and each pixel therein is separated into two channels. The image is further divided into a plurality of blocks. A distribution of a selected channel is determined for each block, which is selected from the two channels. For each pixel, the pixel value of the selected channel is adjusted according to at least one distribution corresponding to at least one neighboring block. For each pixel, the pixel value of the other channel is adjusted according to the adjusted pixel value of the selected channel. As a result, the adjusted image is provided.

Abstract: An embodiment of an image enhancement method is introduced. An object is detected from a received image according to a object feature. An intensity distribution of the object is computed. A plurality of color values of pixels of the object is mapped to a plurality of new color values of the pixels according to the intensity distribution. Finally, a new image comprising the new color values of the pixels is provided to a user.

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 electronic device includes a multi-field sensor, a memory, and a codec wrapper module, in which the codec wrapper module includes at least one encoder and at least one decoder. The encoder compresses raw data of an image into an image bit stream with a compression ratio through the following steps. The image is segmented into various image bands. Storage space is allocated in the memory and is segmented into various compressed band regions according to the compression ratio and a bit stream length of the raw data. A starting position of each compressed band region is recorded as a current ending position. Lines, sequentially received, are compressed into compressed bit streams respectively. The compressed bit streams are sequentially written into the corresponding compressed band regions according to field indexes of the lines, an output field order, and a group formed by the image bands corresponding to the lines.

Abstract: A three-dimensional (3D) image generating device including a first memory unit, a first (master) processor, and a second (slave) processor is provided. The first processor and the second processor respectively include a first image processing unit and a second image processing unit. The first processor further includes a data access unit. The first image processing unit and the second image processing unit respectively receive images representing a first human eye and a second human eye and generate a first image and a second image through image processing. The data access unit receives the first image from the first image processing unit and writes it into the first memory unit according to a predetermined 3D image format. The second image processed by the second image processing unit is transmitted to the data access unit and written into the first memory unit according to the predetermined 3D image format.

Abstract: A video signal encoder/decoder with a 3D noise reduction function and a method thereof. The encoder comprises a storage module, a motion estimation module, a motion compensation module, a first noise reduction module and a coding module. The storage module stores at least one reference image. The motion estimation module receives a first image from an image input end and estimates a motion vector in accordance with the first image and the reference image. The motion compensation module produces motion compensation according to the reference image and the motion vector. The first noise reduction module produces a first noise reduction value with a temporal sequence association according to the first image and the motion compensation. The coding module produces coding data according to the motion compensation and the first noise reduction 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 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 device and an image processing method thereof. The image processing device comprises a memory module, an object detection module and a processing module. The memory module is provided for storing a plurality of images captured by a camera module, and the image comprises at least one object. The object detection module retrieves one of the images as a reference image and compares the remaining images with the reference image to locate a region where the object with corresponding contour and color is situated. If the object detection module compares and determines that the object with the corresponding contour and color is situated in different regions of the reference image and the remaining images, the processing module will remove the corresponding object in the reference image or superimpose each corresponding object in the reference image simultaneously.

Abstract: An electronic device includes a multi-field sensor, a memory, and a codec wrapper module, in which the codec wrapper module includes at least one encoder and at least one decoder. The encoder compresses raw data of an image into an image bit stream with a compression ratio through the following steps. The image is segmented into various image bands. Storage space is allocated in the memory and is segmented into various compressed band regions according to the compression ratio and a bit stream length of the raw data. A starting position of each compressed band region is recorded as a current ending position. Lines, sequentially received, are compressed into compressed bit streams respectively. The compressed bit streams are sequentially written into the corresponding compressed band regions according to field indexes of the lines, an output field order, and a group formed by the image bands corresponding to the lines.

Abstract: A system and method of driving shutter by an object moving tendency. In this method, an image capture process is performed, wherein a sensor captures a first image of a moving object in a first resolution in the image capture process. Then, a prediction moving module analyzes the first image to acquire a prediction time for the moving object to reach a feature position. Finally, an automatic shutter control process is performed according to the prediction time, and a second image with a second resolution is captured, wherein the value of the second resolution is larger than that of the first resolution. This method automatically captures the second image of the moving object when situated at the feature position by using the prediction moving system to analyze the moving object.

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 rectification method for a video device includes receiving an image that is a facial image of a transmitter from the transmitter, obtaining a first angular deviation with respect to line of sight of the transmitter according to the image, obtaining a second horizontal angular deviation and a second vertical angular deviation with respect to line of sight of a receiver using the video device, and performing an image synthesis procedure on the image according to the first angular deviation, the second horizontal angular deviation and the second vertical angular deviation, for generating an eye-to-eye image sent to the receiver.

Abstract: An image capturing device and an image capturing method thereof are disclosed. The image capturing device includes an image capturing module and a processing module. The image capturing module captures a plurality of temporary images corresponding to a scene. The processing module sequentially analyzes the temporary images and generates a plurality of analysis results. The processing module dynamically adjusts the sampling time of the image capturing module capturing each temporary image according to the analysis results. Moreover, the processing module selects some of the plurality of temporary images according to the analysis results to integrate images. The image capturing module stops capturing the temporary images based upon a stop signal, and finally a storage image is generated.