ImageSuperResolution superResolution = new ImageSuperResolution(mContext); Frame frame = new Frame(); frame.setBitmap(bitmap); ImageResult result = superResolution.doSuperResolution(frame, null); Bitmap resultBitmap = result.getBitmap(); ...
Keywords: photonic jet;photonic hook;patchy particle;microspheres;super-resolution imaging
Sub-pixel convolution works by converting depth to space, as seen in the figure below. Pixels from multiple channels in a low resolution image are rearranged to a single channel in a high resolution image. To give an example, an input image of size 5×5×4 can rearrange the pixels in th...
PROBLEM TO BE SOLVED: To solve the problem that required operation performance is sharply improved due to the increase of reference frames when enlarging images by super-resolution processing. SOLUTION: A first intermediate super-resolution frame is generated from image data of a first image frame ...
SUPER-RESOLUTION IMAGE PROCESSINGA method for iterative derivation of a master image from sampled images of non-identical, at least partially overlapping, regions of a scene. The method includes defining a transformation operator mapping positions within the master image to corresponding positions in ...
Input DATASETS private-dataset Language Python License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input1 file arrow_right_alt Output1 file arrow_right_alt Logs338.7 second run - successful arrow_right_alt Comments0 comments arrow_right_alt...
Outputmore_vert arrow_drop_down folder samples insert_photo init_g_0.png insert_photo init_g_10.png insert_photo init_g_20.png insert_photo init_g_30.png insert_photo init_g_40.png insert_photo train_g_0.png insert_photo train_g_100.png insert_photo train_g_120.png insert_photo ...
Launch Lightroom online Photo enlargement made easy. If you have old or low-resolution photos you want to make print quality, use the Super Resolution feature in Adobe photoshop lightroom. Super Resolution creates a single image with two times the linear resolution. That means the enhanced image...
resolution image patches, we can enforce the similarity of sparse representations between the low resolution and high resolution image patch pair with respect to their own dictionaries. Therefore, the sparse representation of a low resolution image patch can be applied with the high resolution image ...
Super-Resolution (SR) is a branch of Artificial Intelligence (AI) that aims to tackle this problem, whereby a given LR image can be upscaled to retrieve an image with higher resolution and thus more discernible details that can then be used in downstream tasks such as object classification,...