Abstract: An image quality improvement method and an image processing apparatus using the same are provided. Denoising filtering is performed to an original image by a filter to obtain a preliminary processing image. The preliminary processing image is input to a multi-stage convolutional network model to generate an optimization image through the multi-stage convolutional network model. The multi-stage convolutional network model includes multiple convolutional network sub-models, and these convolutional network sub-models respectively correspond to different network architectures.

Abstract: An adjusting module is provided. The adjusting module includes a fixed object and a movable object. The fixed object includes a first fixing base and a sliding rail. The first fixing base includes a socket; and at least two guiding pins configured around the socket. The movable object includes a holder sliding on the sliding rail; and a second fixing base configured on the holder and a plug having at least two guiding holes configured around the plug and positioned corresponding to the guiding pins.