Abstract: A method for processing a static pattern in an image and a circuit system are provided. In the method, each of frames of a video is divided into multiple areas. Several algorithms are used to calculate a static pattern index of every area. The static pattern index is used as a reference for determining if the area covers part or entire of a static pattern. An index threshold can be used to check the areas that are determined as the static pattern initially. A time threshold is then used to confirm the areas with the static pattern in every frame. Image data of the areas which are determined as the static patterns can then be adjusted, such as having brightness of the area that is determined as part or entire of the static patterns decreased, for preventing the display panel from negative effects of the static pattern.

Abstract: A method for video quality detection and an image processing circuit thereof are provided. In the method, an image-processing circuit receives video signals with at least one frame image, and obtains brightness information of pixels from the frame image. A threshold is applied to the pixels of each frame in order to screen the brightness features that can be regarded as an attribute of each frame image. Therefore, a brightness distribution feature with respect to the pixels of each frame image can be obtained by a statistic method. Statistics showing the brightness distribution can be used to determine a quality of each frame image or a video. The image processing circuit can accordingly select an image processing process corresponding to the image quality of each frame image or the whole video.

Abstract: A method for processing a static pattern in an image and a circuit system are provided. In the method, each of frames of a video is divided into multiple areas. Several algorithms are used to calculate a static pattern index of every area. The static pattern index is used as a reference for determining if the area covers part or entire of a static pattern. An index threshold can be used to check the areas that are determined as the static pattern initially. A time threshold is then used to confirm the areas with the static pattern in every frame. Image data of the areas which are determined as the static patterns can then be adjusted, such as having brightness of the area that is determined as part or entire of the static patterns decreased, for preventing the display panel from negative effects of the static pattern.

Abstract: A method for video quality detection and an image processing circuit thereof are provided. In the method, an image-processing circuit receives video signals with at least one frame image, and obtains brightness information of pixels from the frame image. A threshold is applied to the pixels of each frame in order to screen the brightness features that can be regarded as an attribute of each frame image. Therefore, a brightness distribution feature with respect to the pixels of each frame image can be obtained by a statistic method. Statistics showing the brightness distribution can be used to determine a quality of each frame image or a video. The image processing circuit can accordingly select an image processing process corresponding to the image quality of each frame image or the whole video.

Abstract: Disclosed are an image tuning device and an image tuning method. The image tuning method includes the following steps: dividing an image area into a plurality of blocks for executing brightness adjustment individually, in which the blocks include a target block and at least one neighboring block; receiving pixel data of the target block to calculate a target block brightness value; receiving pixel data of the at least one neighboring block to calculate at least one neighboring block brightness value; calculating a calculated brightness value of a target pixel within the target block according to the target block brightness value and the at least one neighboring block brightness value; and generating an adjusted brightness value of the target pixel by adjusting an original brightness value of the target pixel according to the calculated brightness value.

Abstract: Disclosed are an image tuning device and an image tuning method. The image tuning method includes the following steps: dividing an image area into a plurality of blocks for executing brightness adjustment individually, in which the blocks include a target block and at least one neighboring block; receiving pixel data of the target block to calculate a target block brightness value; receiving pixel data of the at least one neighboring block to calculate at least one neighboring block brightness value; calculating a calculated brightness value of a target pixel within the target block according to the target block brightness value and the at least one neighboring block brightness value; and generating an adjusted brightness value of the target pixel by adjusting an original brightness value of the target pixel according to the calculated brightness value.