Advances in single frame image recovery

This thesis tackles a problem of recovering a high resolution image from a single compressed frame. A new image-prior that is devised based on Pearson type VII density is integrated with a Markov Random Field model which has desirable robustness properties. A fully automated hyper-parameter estimation procedure for this approach is developed, which makes it advantageous in comparison with alternatives. Although this recovery algorithm is very simple to implement, it achieves statistically significant improvements over previous results in under-determined problem settings, and it is able to recover images that contain texture. This advancement opens up the opportunities for several potential extensions, of which we pursue two: (i) Most of previous work does not consider any specific extra information to recover the signal. Thus, this thesis exploits the similarity between the signal of interest and a consecutive motionless frame to address this problem. Additional information of similarity that is available is incorporated into a probabilistic image-prior based on the Pearson type VII Markov Random Field model. Results on both synthetic and real data of Magnetic Resonance Imaging (MRI) images demonstrate the effectiveness of our method in both compressed setting and classical super-resolution experiments. (ii) This thesis also presents a multi-task approach for signal recovery by sharing higher-level hyperparameters which do not relate directly to the actual content of the signals of interest but only to their statistical characteristics. Our approach leads to a very simple model and algorithm that can be used to simultaneously recover multipl

COMPOUND BINARIZATION FOR DEGRADED DOCUMENT IMAGES

ABSTRACT In this paper, we propose a new binarization method for degraded document images. Hence, the existing work is focus on finding a good global or local method in order to remove smear, strains, uneven illumination etc. We propose a new compound method that combines the advantages of both global and local thresholding methods. Our method is applicable for various types of degradation cases and the value of factors could be determined automatically. We compare our method with five state-of-the-art degraded document images. It also has been tested over the dataset that is obtained from the recent Document Image Binarization Contest (DIBCO) 2011 and 2013 for the experiments. Experimental results prove the effectiveness of the proposed technique compared to previous methods

Demuse: Releasing Stress Using Music Mobile Application

It can be seen that, conflicts, negative revolution, suicides, and other crimes becoming more common worldwide. Several studies and investigations have been conducted due to this case. Thus, it has been found that one of the root cause is stress, especially among the youth. Although stress can improve work performance and awareness for those who can manage it properly, however if someone is unable to cope with the stressful situation when it becomes excessive, the reaction might be disastrous. In tackling this unfavourable situation, several lifestyle changes have been prescribed such as listening to music, physical activities, doing desired activities, surfing, and others. This study uses the power of music to reduce stress. A mobile application named as “DeMuse” was developed and in its development, Mobile-D step-by-step methodology was applied. At explore phase, a number of existing applications have been compared. At the second phase, the initialize stage, a quantitative analysis was carried out to study the music and mood categories respectively. During the third and fourth phases, which were Productionize and Stabilise, the completion of Data Flow Diagram and Entity Relationship Diagram were established based on the quantitative analysis done. In the final phase, the System Test and Fix, the prototype were reviewed by 148 potential users. DeMuse showed to be one of the alternative ways to relieve stress. From this finding, DeMuse highlight the main feature which is the music and mood categories. In conclusion, DeMuse is a valid mobile apps that could be used to help reduce stress of its user. With this app, it hopes greatly to help in decreasing and eliminating the tension, dissatisfaction, and others negative feelings of users in their daily life

Discovering Autism Child Potential using Autism Parenting Application

Autism have become prevalent disorder among children nowadays. Parents with autism kid having higher level of stress among other parents. There is some remarkable skill in autism kid that by discovering the skill can make parents to have a better approach or better parenting toward their kid. The objective of the study is to identify the remarkable skills among autism children using qualitative method and to identify the features of suitable mobile app to help parent determine the remarkable skills using content analysis and literature review. Two main remarkable skill focusses in this study were rote memory and spatial visual. A study was carried out to produce a mobile application (prototype) for autism parents to discover their child’s remarkable skills. Prototyping methodology was employed. The application is expected to help parents to discover their kid’s remarkable skill. Index Terms - Autism, parenting application, remarkable skill, rote memory, spatial visual

SINGLE-FRAME IMAGE SUPER-RESOLUTION USING A PEARSON TYPE VII MRF

Image super-resolution restoration aims to recover a high resolution scene from its low resolution measurements. It is a difficult, ill-posed problem, with no consensus as to how best to formulate image models that can both impose smoothness and preserve the edges in the image. Here we develop a new image prior based on the Pearson type VII density integrated with a Markov Random Field model. This has desirable robustness properties and achieves state-ofthe-art performance in terms of the mean square error, in a range of noise conditions. We develop a fully automated hyperparameter estimation procedure for this approach, which makes it advantageous in comparison with alternatives. 1